CN113095329A - Working method for separating doctor-patient experience abnormal image data through big data platform - Google Patents

Working method for separating doctor-patient experience abnormal image data through big data platform Download PDF

Info

Publication number
CN113095329A
CN113095329A CN202110361309.3A CN202110361309A CN113095329A CN 113095329 A CN113095329 A CN 113095329A CN 202110361309 A CN202110361309 A CN 202110361309A CN 113095329 A CN113095329 A CN 113095329A
Authority
CN
China
Prior art keywords
resistor
patient
controller
pii
capacitor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202110361309.3A
Other languages
Chinese (zh)
Inventor
冉旭
周峰
臧传波
钟鸣
刘洋
王政
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Zeroad Hospital Management Co ltd
Original Assignee
Chongqing Zeroad Hospital Management Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Zeroad Hospital Management Co ltd filed Critical Chongqing Zeroad Hospital Management Co ltd
Priority to CN202110361309.3A priority Critical patent/CN113095329A/en
Publication of CN113095329A publication Critical patent/CN113095329A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/153—Segmentation of character regions using recognition of characters or words
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/63—Scene text, e.g. street names
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention provides a working device for separating doctor-patient experience abnormal image data through a large data platform, which comprises a rectangular base, wherein a cavity is arranged in the rectangular base, a PCB (printed circuit board) mounting seat for fixedly mounting a PCB is arranged in the cavity, the PCB is fixedly mounted on the PCB mounting seat, a vertical upright post which is detachable at an angle of pi/2 with the rectangular base is arranged on the rectangular base, and an indicating lamp hole I and an indicating lamp hole II are arranged on the tail end surface of the horizontal upright post; the pilot lamp LED3 sets up in pilot lamp hole one department, and pilot lamp LED4 sets up in pilot lamp hole two departments, is provided with the camera hole in horizontal stand bottom surface, and the camera setting is in camera hole department. According to the invention, the identity information of the patient can be acquired through the sensing module, and the identity information of the patient can be extracted through the picture shot by the camera, so that abnormal images can be screened out.

Description

Working method for separating doctor-patient experience abnormal image data through big data platform
Technical Field
The invention relates to the technical field of hospital data acquisition, in particular to a working method for separating doctor-patient experience abnormal image data through a big data platform.
Background
The picture recognition is a process in which a graphic stimulus acts on a sensory organ and a person recognizes that the graphic stimulus is an experienced graphic, and the process is also called picture recognition. In the picture recognition, there are not only information that enters the sense at that time, but also information stored in memory. Only through the stored information and the current information to compare the processing process, the picture can be re-identified. Patent application No. 2020106397960 entitled "picture identification method, system, electronic device, and storage medium" includes obtaining a picture to be identified; detecting the category of the picture to be identified: when the picture to be recognized is a pure character picture, extracting target content in the picture to be recognized through a character recognition algorithm; when the picture to be identified is a pure image picture, extracting target content in the picture to be identified through an image identification algorithm; and when the picture to be recognized is a comprehensive picture, extracting the target content in the picture to be recognized through a character recognition algorithm and an image recognition algorithm, wherein the comprehensive picture comprises character content and image content. According to the method and the device, after the picture to be recognized is obtained, whether the picture to be recognized belongs to a pure character picture, a pure image picture or a comprehensive picture is detected, and the target content of the picture to be recognized is recognized by adopting corresponding algorithms corresponding to different pictures, so that the picture recognition is more targeted, and the accuracy and the efficiency of the picture recognition are further higher.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly provides a working method for separating doctor-patient experience abnormal image data through a large data platform.
In order to achieve the purpose, the invention provides a working device for separating doctor-patient experience abnormal image data through a large data platform, which comprises a rectangular base, wherein a cavity is arranged in the rectangular base, a PCB (printed circuit board) mounting seat for fixedly mounting a PCB is arranged in the cavity, the PCB is fixedly mounted on the PCB mounting seat, a vertical upright post which forms a pi/2 angle with the rectangular base and is detachable is arranged on the rectangular base, a transverse upright post which forms a pi/2 angle with the vertical upright post and is detachable is arranged at the top end of the vertical upright post, and an indication lamp hole I and an indication lamp hole II are arranged on the tail end surface of the transverse upright post; the indicating lamp LED3 is arranged at the first indicating lamp hole, the indicating lamp LED4 is arranged at the second indicating lamp hole, the bottom surface of the transverse upright post is provided with a camera hole, and the camera is arranged at the camera hole;
the detection device comprises a rectangular base, a PCB (printed circuit board) and a controller, wherein a power supply hole, a power supply indicator lamp hole and a power supply replacement indicator lamp hole are sequentially arranged on one side surface of the rectangular base, an induction area is arranged on the top surface of the rectangular base, a detection hole is arranged in the center of the induction area, and the controller, the power supply indicator lamp LED2, the power supply replacement indicator lamp LED1, a power supply input interface CON1, an induction module and a proximity sensor are arranged on the PCB; the sensing data end of the controller is connected with the sensing data end of the sensing module, the image data end of the controller is connected with the image data end of the camera, the first indication end of the controller is connected with the driving input end of the first indicator lamp driving module, the driving output end of the first indicator lamp driving module is connected with the indicator lamp LED3, the second indication end of the controller is connected with the driving input end of the second indicator lamp driving module, the driving output end of the second indicator lamp driving module is connected with the indicator lamp LED4, and the approach data end of the controller is connected with the approach data end of the approach sensor;
when the controller receives a proximity signal sent by the proximity sensor, the controller controls the sensing module to work, and if the sensing module does not read data, the controller controls the camera to work to acquire image data of an object placed on the sensing area.
In a preferred embodiment of the present invention, the PCB further comprises: the power ground terminal of the power input interface CON1 is connected to the power ground, the power terminals of the power input interface CON1 are respectively connected to the first terminal of the resistor R1, the first terminal of the capacitor C1 and the power voltage input terminal Vin of the buck chip unit U1, and the power input interface CON1 inputs 12V power voltage; a second terminal of the capacitor C1 is connected to a power ground, a second terminal of the resistor R1 is connected to the enable terminal EN of the buck chip unit U1, a driving terminal BS of the buck chip unit U1 is connected to a first terminal of the capacitor C14, a second terminal of the capacitor C14 is connected to a first terminal of the resistor R2 and the power supply voltage output terminal SW of the buck chip unit U1, a second terminal of the resistor R2 is connected to a first terminal of the capacitor C2, a first terminal of the resistor R5 and an anode of the diode D1, a second terminal of the capacitor C2 is connected to the power ground, a second terminal of the resistor R5 is connected to a first terminal of the resistor R4 and the feedback terminal FB of the buck chip unit U1, a second terminal of the resistor R4 is connected to the power ground, a compensation terminal COMP of the buck chip unit U1 is connected to a first terminal of the capacitor C4, a second terminal of the capacitor C4 is connected to a first terminal of the resistor R3, a second terminal of the resistor R56 is connected to the power ground, a second terminal of the power supply terminal of the buck chip unit U828653, a second end of the capacitor C3 is connected with a power ground, and a power ground end GND of the buck chip unit U1 is connected with the power ground;
the cathode of the diode D1 is respectively connected with the first end of the resistor R20, the anode of the power indicator LED2, the cathode of the diode D2, the drain of the P-channel enhancement type field effect transistor Q1, the first end of the capacitor C8, the first end of the capacitor C14 and the power voltage input end Vin of the buck chip unit U4, the negative electrode of the diode D1 outputs 5V power voltage, the grid of the P-channel enhancement type field effect transistor Q1 is respectively connected with the positive electrode of the diode D2, the first end of the resistor R14, the power voltage output end Vcc of the USB interface U2, the first end of the resistor R6, the first end of the resistor R7 and the power voltage end Vcc of the charging chip unit U3, the second end of the resistor R14 is connected with the power ground, the power ground end GND of the USB interface U2 is connected with the power ground, the data transmission positive end D + of the USB interface U2 is connected with the USB data transmission positive end of the controller, and the data transmission negative end D-of the USB interface U2 is connected with the USB data transmission negative end of the controller; a second end of the resistor R6 is connected with a second end of the resistor R7 and a charging power supply end CHRG of the charging chip unit U3 respectively, a ground end GND of the charging chip unit U3 is connected with a power ground, a current end PROG of the charging chip unit U3 is connected with a first end of the resistor R8, a second end of the resistor R8 is connected with the power ground, a source electrode of the P-channel enhancement type field effect transistor Q1 is connected with a battery power supply end BAT of the charging chip unit U3, a first end of the resistor R9, a first end of the resistor R10 and a positive electrode of the battery BAT respectively, and a negative electrode of the battery BAT is connected with the power ground;
the cathode of the power indicator LED2 is connected with the first end of the resistor R19, the second end of the resistor R19 is connected with the power ground, the second end of the resistor R20 is respectively connected with the first end of the resistor R21 and the first end of the capacitor C7, and the second end of the capacitor C7 is respectively connected with the second end of the resistor R21, the second end of the capacitor C8, the second end of the capacitor C14 and the power ground;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U4 is respectively connected with a first end of an adjustable resistor R22 and a first end of a resistor R23, a second end of the resistor R23 is respectively connected with a power supply voltage output end Vout of the voltage reduction chip unit U4, a first end of a capacitor C9, a first end of a capacitor C10, a positive electrode of a diode D4, a first end of a capacitor C11, a power supply end of a first indicator lamp driving module, a power supply end of a second indicator lamp driving module and a power supply voltage input end Vin of a voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U4 outputs 3.3V power supply voltage, and a second end of the capacitor C9, a second end of the capacitor C10 and a second end of the capacitor C11 are respectively connected with a;
a cathode of the diode D4 is connected to a cathode of the diode D3 and a first end of the resistor R16, a second end of the resistor R16 is connected to a first end of the resistor R17, a first end of the resistor R18, a first end of the capacitor C5, a first end of the capacitor C6, and a power voltage input VDD of the clock chip unit U5, a second end of the capacitor C5 and a second end of the capacitor C6 are connected to a power ground, a power ground GND of the clock chip unit U5 is connected to the power ground, a second end of the resistor R17 is connected to a clock input SCL of the clock chip unit U5 and a clock output of the controller, and a second end of the resistor R18 is connected to a data terminal SDA of the clock chip unit U5 and a data clock terminal of the controller;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U6 is respectively connected with a first end of an adjustable resistor R24 and a first end of a resistor R25, a second end of the adjustable resistor R24 is connected with a power supply ground, a second end of a resistor R25 is respectively connected with a first end of a capacitor C12, a first end of a capacitor C13 and a power supply voltage output end Vout of the voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U6 outputs 1.1V power, and a second end of a capacitor C12 and a second end of a capacitor C13 are respectively connected with the power supply ground;
the anode of the diode D3 is connected to the cathode of the diode D2 and the anode of the coin battery BAT1, the cathode of the coin battery BAT1 is connected to the power ground, the anode of the diode D2 is connected to the first end of the resistor R15, the second end of the resistor R15 is connected to the first end of the resistor R12 and the first end of the resistor R14, the second end of the resistor R14 is connected to the power ground, the second end of the resistor R12 is connected to the base of the transistor Q2, the emitter of the transistor Q2 is connected to the first end of the resistor R13, the second end of the resistor R13 is connected to the power ground, the collector of the transistor Q2 is connected to the base of the transistor Q3 and the second end of the resistor R10, the collector of the transistor Q3 is connected to the cathode of the power replacement indicator LED1, the anode of the power replacement indicator LED1 is connected to the second end of the resistor R9, the emitter of the transistor Q3 is connected to the first end of the resistor R11, and the second end of the resistor R11 is.
In a preferred embodiment of the present invention, an indicator-lamp driving module includes: the first end of an input loop of the relay K1 is connected with 3.3V power supply voltage, the second end of the input loop of the relay K1 is connected with the anode of an indicator light LED3, the cathode of the indicator light LED3 is connected with the collector of a triode Q4, the emitter of the triode Q4 is connected with the first end of a normally closed contact of the relay K2, the second end of the normally closed contact of the relay K2 is respectively connected with the first detection end of an indicator light of the controller and the first end of a resistor R26, the second end of the resistor R26 is connected with the power ground, and the base of the triode Q4 is connected with the first indication end of the controller;
the second indicator lamp driving module comprises: the first end of the relay K2 input loop is connected with 3.3V power voltage, the second end of the relay K2 input loop is connected with the anode of an indicator light LED4, the cathode of the indicator light LED4 is connected with the collector of a triode Q5, the emitter of a triode Q5 is connected with the first end of a normally closed contact of a relay K1, the second end of the normally closed contact of the relay K1 is connected with the second detection end of an indicator light of a controller and the first end of a resistor R27 respectively, the second end of the resistor R27 is connected with the power ground, and the base of the triode Q5 is connected with the second indication end of the controller.
In a preferred embodiment of the invention, a first threaded hole matched with the first threaded rod is formed in the rectangular base, a second threaded hole matched with the first threaded rod is formed in the end face of the vertical upright, and the rectangular base is detachably connected with the vertical upright through the first threaded rod;
a third threaded hole matched with the threaded rod is formed in the other end face of the vertical upright, a fourth threaded hole matched with the threaded rod is formed in the bottom of the transverse upright close to the other end of the transverse upright, and detachable connection of the transverse upright and the vertical upright is achieved through the second threaded rod.
The invention also discloses a working method for separating doctor-patient experience abnormal image data through a big data platform, which comprises the following steps:
s1, acquiring patient identity information, wherein the patient identity information comprises one or any combination of name, citizen identity number and address;
s2, judging whether the acquired patient identity information is a picture:
if the acquired patient identity information is a picture, executing step S3;
if the acquired patient identity information is not a picture, executing step S4;
s3, extracting the patient identity information in the picture to obtain the patient identity information; step S4 is executed;
and S4, storing the acquired patient identity information to a cloud platform.
In a preferred embodiment of the present invention, before step S1, S0 is further included, and the system is initialized; the method specifically comprises the following steps:
s01, the first indicating end of the controller sends conducting level to the triode Q4, the controller judges whether the voltage value detected by the first detecting end of the indicator light of the controller is within the preset first voltage threshold range:
if the voltage value detected by the first detection end of the indicator light of the controller is within the preset first voltage threshold range, the indicator light LED3 is in a normal state; the first indicating end of the controller sends a cutoff level to the triode tube Q4; step S02 is executed;
if the voltage value detected by the first detection end of the indicator light of the controller is not within the preset first voltage threshold range, the controller sends first warning information to the cloud platform, wherein the first warning information is that the indicator light LED3 is damaged and needs to be replaced in time; step S02 is executed;
s02, the second indicating end of the controller sends conducting level to the triode Q5, the controller judges whether the voltage value detected by the second detecting end of the indicator light of the controller is within the preset second voltage threshold range:
if the voltage value detected by the second detection end of the indicator light of the controller is within the preset second voltage threshold range, the indicator light LED4 is in a normal state; the second indicating end of the controller sends a cutoff level to the triode tube Q5; step S03 is executed;
if the voltage value detected by the second detection end of the indicator light of the controller is not within the preset second voltage threshold range, the controller sends second warning information to the cloud platform, and the second warning information indicates that the indicator light LED4 is damaged and needs to be replaced in time; step S03 is executed;
and S03, the controller sends an operation signal to the proximity sensor, and the proximity sensor operates.
In a preferred embodiment of the present invention, step S1 includes the following steps:
s11, the controller judges whether the controller receives the proximity information sent by the proximity sensor, namely, the controller indicates that an object is placed on the sensing area at the moment;
if the controller receives the proximity information sent by the proximity sensor, the controller sends a working signal to the sensing module of the controller, and the sensing module works;
if the controller does not receive the proximity information sent by the proximity sensor, the controller continues to wait;
s12, the controller judges whether the induction module reads the patient identity information built in the object:
if the sensing module reads the patient identity information built in the object, the controller sends a conducting level to a triode Q4 of the sensing module, and an indicator light LED3 is lightened to indicate that the patient identity information is obtained;
if the induction module does not read the identity information of the patient in the object, the controller sends a work stopping signal to the induction module, and the induction module stops working; and sends working signal to its lens; the camera works;
s13, the controller judges whether the number of pictures shot by the controller is larger than or equal to a preset number threshold:
if the number of the shot pictures is smaller than a preset number threshold value, the camera continues shooting;
if the number of the shot pictures is larger than or equal to the preset number threshold value, the controller sends a conducting level to a triode Q5 of the picture, and an indicator light LED4 is lightened to indicate that the patient identity picture information is obtained;
s14, after the object placed on the sensing area is taken away, the controller does not receive the approach information sent by the approach sensor, the controller sends cut-off level to the triode Q4 and the triode Q5, and the indicator light LED3 and the indicator light LED4 are turned off.
In a preferred embodiment of the present invention, in step S3, the method for extracting the patient identification information in the picture to obtain the patient identification information thereof includes the following steps:
s31, numbering the shot pictures in sequence, wherein the number is K1、K2、K3、……、KkWherein k represents the total number of the shot pictures and is a positive integer greater than or equal to 1; k1Denotes picture 1, K2Denotes picture 2, K3Denotes picture 3, KkWhich represents the k-th picture and the k-th picture,
s32, for the ith picture KiPerforming image processing, wherein i is a positive integer less than or equal to k, and obtaining a gray-scale processing image thereof, and the method for obtaining the gray-scale processing image comprises the following steps:
Grayx,y＝(Rx,y×r+Gx,y×g+Bx,y×b)＞＞f，
wherein, Grayx,yRepresenting the gray value of the pixel point at the picture coordinate (x, y);
Rx,yrepresenting the pixel point red magnitude at picture coordinates (x, y);
Gx,yrepresenting the pixel point green magnitude at picture coordinates (x, y);
Bx,yrepresenting the pixel point blue magnitude at picture coordinates (x, y);
r represents a red magnitude harmonic coefficient;
g represents a green magnitude harmonic coefficient;
b represents a blue magnitude harmonic coefficient;
r+g+b＝255；
f represents the color chroma digit number;
s33, performing rotation transformation on the gray-scale processed image to obtain a rotation transformed image, wherein the method for obtaining the rotation transformed image comprises:
s331, acquiring width and height of the gradation-processed image, and determining whether the width of the gradation-processed image is greater than or equal to the height of the gradation-processed image:
if the width of the gray processing image is larger than or equal to the height of the gray processing image, establishing a square canvas by taking 2 times of the width of the gray processing image as the side length;
if the width of the gray processing image is smaller than the height of the gray processing image, establishing a square canvas by taking 2 times of the height of the gray processing image as the side length;
s332, placing the center of the gray processing image in the center of the square canvas;
s333, arbitrarily selecting pixel point (x) on the gray processing image0,y0) For the gray scale processing of other pixels (x) on the imagej,yj) At the radius thereof
Figure BDA0003005700580000091
Around the pixel point (x)0,y0) Rotation of the centre of rotation α, α ∈ (0,2 π)](ii) a Obtain its rotation transformation alpha1Image, rotation transformation alpha2Image, rotationConversion of alpha3Image, rotation transformation alphaζImage, alpha1＜α2＜α3＜…＜αζ，αξ∈(0,2π]Xi is the total number of rotations;
Figure BDA0003005700580000092
s334, selecting rotation transformation by using the rectangular frame
Figure BDA0003005700580000093
And obtaining the framing character of the character in the image, and judging whether the framing character is consistent with the preset character or not:
if the frame-selected character is consistent with the preset character, the rotation is changed
Figure BDA0003005700580000094
The image is a rotation transformation image;
if the frame-selected character is not consistent with the preset character, then
Figure BDA0003005700580000095
Returning to step S334;
and S34, extracting and obtaining the identity information of the patient according to the rotation transformation image.
In a preferred embodiment of the present invention, in step S4, the method for storing the acquired patient identification information to the cloud platform includes the following steps:
s41, the cloud platform performs Hash function operation on the acquired patient citizen identity number to obtain the patient identity code, and the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
s42, the cloud platform judges whether the patient identity code exists in the cloud platform:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure BDA0003005700580000101
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
establishing a folder by taking the obtained patient identity code as a file name under a database directory, and storing the patient identity information in the established folder;
and if the patient identity code exists in the cloud platform, storing the patient identity information in a folder corresponding to the patient identity code.
In a preferred embodiment of the present invention, when uploading the patient's test data of the current day to the cloud platform for storage, the patient's test data includes one or any combination of blood routine test data, urine routine test data, and X-ray film data, and the method comprises the following steps:
s101, extracting the patient citizen identity number in the patient detection data, and performing Hash function operation on the obtained patient citizen identity number to obtain the patient identity code, wherein the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
102, the cloud platform judges whether the patient identity code exists in the cloud platform by taking the search word as a file name or not by taking the patient identity code as the search word:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure BDA0003005700580000111
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining the hexadecimal patient identity through a Hash function MD5Code;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
step S103 is executed;
if the cloud platform exists, executing step S103;
s103, packing the patient detection data of the same day to obtain packed data of the patient detection data, and performing Hash function operation on the packed data to obtain a packed code of the patient detection data, wherein the method for obtaining the packed code comprises the following steps:
A(Pack)Hexadecimal＝Hash(Pack,Hexadecimal)，
wherein, A (pack)HexadecimalRepresenting that the packed data Pack obtains a hexadecimal packing code thereof through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
pack represents packed data;
hexadecimal stands for Hexadecimal;
s104, packing the code A (pack)HexadecimalAnd obtaining renamed packed data of the packed data Pack as the file name of the packed data Pack, and storing the renamed packed data under a folder corresponding to the search term.
In summary, due to the adoption of the technical scheme, the patient identity information can be acquired through the sensing module, and the patient identity information can be extracted through the picture shot by the camera, so that abnormal images can be screened out.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram of the present invention.
Fig. 2 is a schematic block diagram of the inventive connection.
Fig. 3 is a schematic circuit connection diagram of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention provides a working device for separating doctor-patient experience abnormal image data through a large data platform, which comprises a rectangular base 5, wherein a cavity is arranged in the rectangular base 5, a PCB (printed circuit board) mounting seat for fixedly mounting a PCB is arranged in the cavity, the PCB is fixedly mounted on the PCB mounting seat, a vertical upright post 1 which is detachable at an angle of pi/2 with the rectangular base 5 is arranged on the rectangular base 5, a transverse upright post 2 which is detachable at an angle of pi/2 with the vertical upright post 1 is arranged at the top end of the vertical upright post 1, and an indicating lamp hole I8 a and an indicating lamp hole II 8b are arranged on the tail end face of the transverse upright post 2; the indicator light LED3 is arranged at the first indicator light hole 8a, the indicator light LED4 is arranged at the second indicator light hole 8b, a camera hole is formed in the bottom surface of the transverse upright post 2, and a camera is arranged at the camera hole;
the detection device comprises a rectangular base 5, a controller, a power indicator light LED2, a power change indicator light LED1, a power input interface CON1, an induction module and a proximity sensor, wherein a power hole 3, a power indicator light hole 4a and a power change indicator light hole 4b are sequentially arranged on one side surface of the rectangular base 5, an induction area 6 is arranged on the top surface of the rectangular base 5, a detection hole 7 is arranged in the center of the induction area 6, and the controller, the power indicator light LED2, the power change indicator light LED1, the power input interface; the power input interface CON1 is located at the power hole 3, the power indicator LED2 is located at the power indicator hole 4a, the power replacement indicator LED1 is located at the power replacement indicator hole 4b, and the proximity sensor is located at the detection hole 7; the sensing data end of the controller is connected with the sensing data end of the sensing module, the image data end of the controller is connected with the image data end of the camera, the first indication end of the controller is connected with the driving input end of the first indicator lamp driving module, the driving output end of the first indicator lamp driving module is connected with the indicator lamp LED3, the second indication end of the controller is connected with the driving input end of the second indicator lamp driving module, the driving output end of the second indicator lamp driving module is connected with the indicator lamp LED4, and the approach data end of the controller is connected with the approach data end of the approach sensor; in this embodiment, the system further comprises a network module connected with the controller, wherein the network module adopts a WiFi module to realize communication with the cloud platform.
When the controller receives a proximity signal sent by the proximity sensor, the controller controls the induction module to work, and if the induction module does not read data, the controller controls the camera to work to acquire image data of an object placed on the induction area 6.
In a preferred embodiment of the present invention, the PCB further comprises: as shown in fig. 3, the power ground terminal of the power input interface CON1 is connected to the power ground, the power terminals of the power input interface CON1 are respectively connected to the first terminal of the resistor R1, the first terminal of the capacitor C1, and the power voltage input terminal Vin of the buck chip unit U1, and the power input interface CON1 inputs a 12V power voltage; a second terminal of the capacitor C1 is connected to a power ground, a second terminal of the resistor R1 is connected to the enable terminal EN of the buck chip unit U1, a driving terminal BS of the buck chip unit U1 is connected to a first terminal of the capacitor C14, a second terminal of the capacitor C14 is connected to a first terminal of the resistor R2 and the power supply voltage output terminal SW of the buck chip unit U1, a second terminal of the resistor R2 is connected to a first terminal of the capacitor C2, a first terminal of the resistor R5 and an anode of the diode D1, a second terminal of the capacitor C2 is connected to the power ground, a second terminal of the resistor R5 is connected to a first terminal of the resistor R4 and the feedback terminal FB of the buck chip unit U1, a second terminal of the resistor R4 is connected to the power ground, a compensation terminal COMP of the buck chip unit U1 is connected to a first terminal of the capacitor C4, a second terminal of the capacitor C4 is connected to a first terminal of the resistor R3, a second terminal of the resistor R56 is connected to the power ground, a second terminal of the power supply terminal of the buck chip unit U828653, a second end of the capacitor C3 is connected with a power ground, and a power ground end GND of the buck chip unit U1 is connected with the power ground;
the cathode of the diode D1 is respectively connected with the first end of the resistor R20, the anode of the power indicator LED2, the cathode of the diode D2, the drain of the P-channel enhancement type field effect transistor Q1, the first end of the capacitor C8, the first end of the capacitor C14 and the power voltage input end Vin of the buck chip unit U4, the negative electrode of the diode D1 outputs 5V power voltage, the grid of the P-channel enhancement type field effect transistor Q1 is respectively connected with the positive electrode of the diode D2, the first end of the resistor R14, the power voltage output end Vcc of the USB interface U2, the first end of the resistor R6, the first end of the resistor R7 and the power voltage end Vcc of the charging chip unit U3, the second end of the resistor R14 is connected with the power ground, the power ground end GND of the USB interface U2 is connected with the power ground, the data transmission positive end D + of the USB interface U2 is connected with the USB data transmission positive end of the controller, and the data transmission negative end D-of the USB interface U2 is connected with the USB data transmission negative end of the controller; a second end of the resistor R6 is connected to a second end of the resistor R7 and a charging power supply terminal CHRG of the charging chip unit U3, a ground terminal GND of the charging chip unit U3 is connected to a power supply ground, a current terminal PROG of the charging chip unit U3 is connected to a first end of the resistor R8, a second end of the resistor R8 is connected to the power supply ground, a source of the P-channel enhancement mode fet Q1 is connected to a battery power supply terminal BAT of the charging chip unit U3, a first end of the resistor R9, a first end of the resistor R10 and a positive electrode of the battery BAT0, and a negative electrode of the battery BAT0 is connected to the power supply ground;
the cathode of the power indicator LED2 is connected with the first end of the resistor R19, the second end of the resistor R19 is connected with the power ground, the second end of the resistor R20 is respectively connected with the first end of the resistor R21 and the first end of the capacitor C7, and the second end of the capacitor C7 is respectively connected with the second end of the resistor R21, the second end of the capacitor C8, the second end of the capacitor C14 and the power ground;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U4 is respectively connected with a first end of an adjustable resistor R22 and a first end of a resistor R23, a second end of the resistor R23 is respectively connected with a power supply voltage output end Vout of the voltage reduction chip unit U4, a first end of a capacitor C9, a first end of a capacitor C10, a positive electrode of a diode D4, a first end of a capacitor C11, a power supply end of a first indicator lamp driving module, a power supply end of a second indicator lamp driving module and a power supply voltage input end Vin of a voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U4 outputs 3.3V power supply voltage, and a second end of the capacitor C9, a second end of the capacitor C10 and a second end of the capacitor C11 are respectively connected with a;
a cathode of the diode D4 is connected to a cathode of the diode D3 and a first end of the resistor R16, a second end of the resistor R16 is connected to a first end of the resistor R17, a first end of the resistor R18, a first end of the capacitor C5, a first end of the capacitor C6, and a power voltage input VDD of the clock chip unit U5, a second end of the capacitor C5 and a second end of the capacitor C6 are connected to a power ground, a power ground GND of the clock chip unit U5 is connected to the power ground, a second end of the resistor R17 is connected to a clock input SCL of the clock chip unit U5 and a clock output of the controller, and a second end of the resistor R18 is connected to a data terminal SDA of the clock chip unit U5 and a data clock terminal of the controller;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U6 is respectively connected with a first end of an adjustable resistor R24 and a first end of a resistor R25, a second end of the adjustable resistor R24 is connected with a power supply ground, a second end of a resistor R25 is respectively connected with a first end of a capacitor C12, a first end of a capacitor C13 and a power supply voltage output end Vout of the voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U6 outputs 1.1V power, and a second end of a capacitor C12 and a second end of a capacitor C13 are respectively connected with the power supply ground;
the anode of the diode D3 is connected to the cathode of the diode D2 and the anode of the coin battery BAT1, the cathode of the coin battery BAT1 is connected to the power ground, the anode of the diode D2 is connected to the first end of the resistor R15, the second end of the resistor R15 is connected to the first end of the resistor R12 and the first end of the resistor R14, the second end of the resistor R14 is connected to the power ground, the second end of the resistor R12 is connected to the base of the transistor Q2, the emitter of the transistor Q2 is connected to the first end of the resistor R13, the second end of the resistor R13 is connected to the power ground, the collector of the transistor Q2 is connected to the base of the transistor Q3 and the second end of the resistor R10, the collector of the transistor Q3 is connected to the cathode of the power replacement indicator LED1, the anode of the power replacement indicator LED1 is connected to the second end of the resistor R9, the emitter of the transistor Q3 is connected to the first end of the resistor R11, and the second end of the resistor R11 is. In the embodiment, the clock chip unit U5 provides the controller with a date, including the time of year, month, day, hour, minute and second, which can be used to record the shooting time of the camera; indicate button cell BAT1 electric quantity not enough when its power is changed pilot lamp LED1 and light, need in time change its button cell BAT1, when preventing not having external power supply and battery BAT electric quantity not enough, can't supply power for clock chip unit U5. The input +12V external power supply is converted into stable +5V power supply voltage through the voltage reduction chip unit U1, the +5V power supply voltage is converted into stable +3.3V power supply voltage through the voltage reduction chip unit U4, the +3.3V power supply voltage is converted into stable +1.1V power supply voltage through the voltage reduction chip unit U6, a USB power supply is accessed through a USB interface U2, and the battery BAT0 is charged through the charging chip unit U3.
In a preferred embodiment of the present invention, an indicator-lamp driving module includes: the first end of an input loop of the relay K1 is connected with 3.3V power supply voltage, the second end of the input loop of the relay K1 is connected with the anode of an indicator light LED3, the cathode of the indicator light LED3 is connected with the collector of a triode Q4, the emitter of the triode Q4 is connected with the first end of a normally closed contact of the relay K2, the second end of the normally closed contact of the relay K2 is respectively connected with the first detection end of an indicator light of the controller and the first end of a resistor R26, the second end of the resistor R26 is connected with the power ground, and the base of the triode Q4 is connected with the first indication end of the controller;
the second indicator lamp driving module comprises: the first end of the relay K2 input loop is connected with 3.3V power voltage, the second end of the relay K2 input loop is connected with the anode of an indicator light LED4, the cathode of the indicator light LED4 is connected with the collector of a triode Q5, the emitter of a triode Q5 is connected with the first end of a normally closed contact of a relay K1, the second end of the normally closed contact of the relay K1 is connected with the second detection end of an indicator light of a controller and the first end of a resistor R27 respectively, the second end of the resistor R27 is connected with the power ground, and the base of the triode Q5 is connected with the second indication end of the controller. When its indicator LED3 lights, indicator LED4 is off; when its indicator LED4 lights, indicator LED3 is off; interlocking is achieved.
In a preferred embodiment of the invention, a first threaded hole matched with the first threaded rod is formed in the rectangular base 5, a second threaded hole matched with the first threaded rod is formed in the end face of the vertical upright 1, and the rectangular base 5 is detachably connected with the vertical upright 1 through the first threaded rod;
a third threaded hole matched with the threaded rod is formed in the other end face of the vertical upright post 1, a fourth threaded hole matched with the threaded rod is formed in the bottom of the transverse upright post 2 close to the other end of the transverse upright post 2, and the transverse upright post 2 is detachably connected with the vertical upright post 1 through the second threaded rod.
The invention also discloses a working method for separating doctor-patient experience abnormal image data through a big data platform, which comprises the following steps:
s1, acquiring patient identity information, wherein the patient identity information comprises one or any combination of name, citizen identity number and address;
s2, the controller judges whether the acquired patient identity information is a picture:
if the acquired patient identity information is a picture, uploading the picture to a cloud platform, and executing the step S3;
if the acquired patient identity information is not a picture, executing step S4;
s3, the cloud platform extracts the patient identity information in the picture to obtain the patient identity information; step S4 is executed;
and S4, storing the acquired patient identity information to a cloud platform.
In a preferred embodiment of the present invention, before step S1, S0 is further included, and the system is initialized; the method specifically comprises the following steps:
s01, the first indicating end of the controller sends conducting level to the triode Q4, the controller judges whether the voltage value detected by the first detecting end of the indicator light of the controller is within the preset first voltage threshold range:
if the voltage value detected by the first detection end of the indicator light of the controller is within the preset first voltage threshold range, the indicator light LED3 is in a normal state; the first indicating end of the controller sends a cutoff level to the triode tube Q4; step S02 is executed;
if the voltage value detected by the first detection end of the indicator light of the controller is not within the preset first voltage threshold range, the controller sends first warning information to the cloud platform, wherein the first warning information is that the indicator light LED3 is damaged and needs to be replaced in time; step S02 is executed;
s02, the second indicating end of the controller sends conducting level to the triode Q5, the controller judges whether the voltage value detected by the second detecting end of the indicator light of the controller is within the preset second voltage threshold range:
if the voltage value detected by the second detection end of the indicator light of the controller is within the preset second voltage threshold range, the indicator light LED4 is in a normal state; the second indicating end of the controller sends a cutoff level to the triode tube Q5; step S03 is executed;
if the voltage value detected by the second detection end of the indicator light of the controller is not within the preset second voltage threshold range, the controller sends second warning information to the cloud platform, and the second warning information indicates that the indicator light LED4 is damaged and needs to be replaced in time; step S03 is executed;
and S03, the controller sends an operation signal to the proximity sensor, and the proximity sensor operates.
In a preferred embodiment of the present invention, step S1 includes the following steps:
s11, the controller judges whether the controller receives the proximity information sent by the proximity sensor, namely, the controller indicates that an object is placed on the sensing area 6 at the moment;
if the controller receives the proximity information sent by the proximity sensor, the controller sends a working signal to the sensing module of the controller, and the sensing module works;
if the controller does not receive the proximity information sent by the proximity sensor, the controller continues to wait;
s12, the controller judges whether the induction module reads the patient identity information built in the object:
if the sensing module reads the patient identity information built in the object, the controller sends a conducting level to a triode Q4 of the sensing module, and an indicator light LED3 is lightened to indicate that the patient identity information is obtained;
if the induction module does not read the identity information of the patient in the object, the controller sends a work stopping signal to the induction module, and the induction module stops working; and sends working signal to its lens; the camera works;
s13, the controller judges whether the number of pictures shot by the controller is larger than or equal to a preset number threshold:
if the number of the shot pictures is smaller than a preset number threshold value, the camera continues shooting;
if the number of the shot pictures is larger than or equal to the preset number threshold value, the controller sends a conducting level to a triode Q5 of the picture, and an indicator light LED4 is lightened to indicate that the patient identity picture information is obtained;
s14, after the object placed on the sensing area 6 is taken away, the controller does not receive the approach information sent by the approach sensor, the controller sends cut-off level to the triode Q4 and the triode Q5, and the indicator light LED3 and the indicator light LED4 are turned off.
In a preferred embodiment of the present invention, in step S3, the method for extracting the patient identification information in the picture to obtain the patient identification information thereof includes the following steps:
s31, the cloud platform numbers the shot pictures in sequence, and the numbers are respectively K1、K2、K3、……、KkWherein k represents the total number of the shot pictures and is a positive integer greater than or equal to 1; k1 Denotes picture 1, K2Denotes picture 2, K3Denotes picture 3, KkWhich represents the k-th picture and the k-th picture,
s32, for the ith picture KiPerforming image processing, wherein i is a positive integer less than or equal to k, and obtaining a gray-scale processing image thereof, and the method for obtaining the gray-scale processing image comprises the following steps:
Grayx,y＝(Rx,y×r+Gx,y×g+Bx,y×b)＞＞f，
wherein, Grayx,yRepresenting the gray value of the pixel point at the picture coordinate (x, y);
Rx,yrepresenting the pixel point red magnitude at picture coordinates (x, y);
Gx,yrepresenting the pixel point green magnitude at picture coordinates (x, y);
Bx,yrepresenting the pixel point blue magnitude at picture coordinates (x, y);
r represents a red magnitude harmonic coefficient;
g represents a green magnitude harmonic coefficient;
b represents a blue magnitude harmonic coefficient;
r+g+b＝255；
> denotes a Shift symbol;
f represents the color chroma digit number;
s33, performing rotation transformation on the gray-scale processed image to obtain a rotation transformed image, wherein the method for obtaining the rotation transformed image comprises:
s331, acquiring width and height of the gradation-processed image, and determining whether the width of the gradation-processed image is greater than or equal to the height of the gradation-processed image:
if the width of the gray processing image is larger than or equal to the height of the gray processing image, establishing a square canvas by taking 2 times of the width of the gray processing image as the side length;
if the width of the gray processing image is smaller than the height of the gray processing image, establishing a square canvas by taking 2 times of the height of the gray processing image as the side length;
s332, placing the center of the gray processing image in the center of the square canvas;
s333, arbitrarily selecting pixel point (x) on the gray processing image0,y0) For the gray scale processing of other pixels (x) on the imagej,yj) At the radius thereof
Figure BDA0003005700580000201
Around the pixel point (x)0,y0) Rotation of the centre of rotation α, α ∈ (0,2 π)](ii) a Obtain its rotation transformation alpha1Image, rotation transformation alpha2Image, rotation transformation alpha3Image, rotation transformation alphaζImage, alpha1＜α2＜α3＜…＜αζ，αξ∈(0,2π]Xi is the total number of rotations;
Figure BDA0003005700580000211
s334, selecting rotation transformation by using the rectangular frame
Figure BDA0003005700580000212
And obtaining the framing character of the character in the image, and judging whether the framing character is consistent with the preset character or not:
if the frame-selected character is consistent with the preset character, the rotation is changed
Figure BDA0003005700580000213
The image is a rotation transformation image;
if the frame-selected character is not consistent with the preset character, the rotation is changed
Figure BDA0003005700580000215
The image is an abnormal image and the image is abnormal,
Figure BDA0003005700580000214
returning to step S334;
and S34, extracting and obtaining the identity information of the patient according to the rotation transformation image.
In a preferred embodiment of the present invention, in step S4, the method for storing the acquired patient identification information to the cloud platform includes the following steps:
s41, the cloud platform performs Hash function operation on the acquired patient citizen identity number to obtain the patient identity code, and the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
s42, the cloud platform judges whether the patient identity code exists in the cloud platform:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure BDA0003005700580000221
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
establishing a folder by taking the obtained patient identity code as a file name under a database directory, and storing the patient identity information in the established folder;
and if the patient identity code exists in the cloud platform, storing the patient identity information in a folder corresponding to the patient identity code.
In a preferred embodiment of the present invention, when uploading the patient's test data of the current day to the cloud platform for storage, the patient's test data includes one or any combination of blood routine test data, urine routine test data, and X-ray film data, and the method comprises the following steps:
s101, extracting the patient citizen identity number in the patient detection data, and performing Hash function operation on the obtained patient citizen identity number to obtain the patient identity code, wherein the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
102, the cloud platform judges whether the patient identity code exists in the cloud platform by taking the search word as a file name or not by taking the patient identity code as the search word:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure BDA0003005700580000231
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
step S103 is executed;
if the cloud platform exists, executing step S103;
s103, packing the patient detection data of the same day to obtain packed data of the patient detection data, and performing Hash function operation on the packed data to obtain a packed code of the patient detection data, wherein the method for obtaining the packed code comprises the following steps:
A(Pack)Hexadecimal＝Hash(Pack,Hexadecimal)，
wherein, A (pack)HexadecimalRepresenting that the packed data Pack obtains a hexadecimal packing code thereof through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
pack represents packed data;
hexadecimal stands for Hexadecimal;
s104, packing the code A (pack)HexadecimalAnd obtaining renamed packed data of the packed data Pack as the file name of the packed data Pack, and storing the renamed packed data under a folder corresponding to the search term.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. A working device for separating doctor-patient experience abnormal image data through a big data platform comprises a rectangular base and is characterized in that a cavity is arranged in the rectangular base, a PCB (printed circuit board) mounting base for fixedly mounting a PCB is arranged in the cavity, the PCB is fixedly mounted on the PCB mounting base, a vertical upright post which is detachable at an angle of pi/2 with the rectangular base is arranged on the rectangular base, a transverse upright post which is detachable at an angle of pi/2 with the vertical upright post is arranged at the top end of the vertical upright post, and an indication lamp hole I and an indication lamp hole II are arranged on the tail end face of the transverse upright post; the indicating lamp LED3 is arranged at the first indicating lamp hole, the indicating lamp LED4 is arranged at the second indicating lamp hole, the bottom surface of the transverse upright post is provided with a camera hole, and the camera is arranged at the camera hole;
the detection device comprises a rectangular base, a PCB (printed circuit board) and a controller, wherein a power supply hole, a power supply indicator lamp hole and a power supply replacement indicator lamp hole are sequentially arranged on one side surface of the rectangular base, an induction area is arranged on the top surface of the rectangular base, a detection hole is arranged in the center of the induction area, and the controller, the power supply indicator lamp LED2, the power supply replacement indicator lamp LED1, a power supply input interface CON1, an induction module and a proximity sensor are arranged on the PCB; the sensing data end of the controller is connected with the sensing data end of the sensing module, the image data end of the controller is connected with the image data end of the camera, the first indication end of the controller is connected with the driving input end of the first indicator lamp driving module, the driving output end of the first indicator lamp driving module is connected with the indicator lamp LED3, the second indication end of the controller is connected with the driving input end of the second indicator lamp driving module, the driving output end of the second indicator lamp driving module is connected with the indicator lamp LED4, and the approach data end of the controller is connected with the approach data end of the approach sensor;
when the controller receives a proximity signal sent by the proximity sensor, the controller controls the sensing module to work, and if the sensing module does not read data, the controller controls the camera to work to acquire image data of an object placed on the sensing area.
2. The working device for separating doctor-patient experience anomaly image data through the big data platform as claimed in claim 1, further comprising on the PCB printed circuit board: the power ground terminal of the power input interface CON1 is connected to the power ground, the power terminals of the power input interface CON1 are respectively connected to the first terminal of the resistor R1, the first terminal of the capacitor C1 and the power voltage input terminal Vin of the buck chip unit U1, and the power input interface CON1 inputs 12V power voltage; a second terminal of the capacitor C1 is connected to a power ground, a second terminal of the resistor R1 is connected to the enable terminal EN of the buck chip unit U1, a driving terminal BS of the buck chip unit U1 is connected to a first terminal of the capacitor C14, a second terminal of the capacitor C14 is connected to a first terminal of the resistor R2 and the power supply voltage output terminal SW of the buck chip unit U1, a second terminal of the resistor R2 is connected to a first terminal of the capacitor C2, a first terminal of the resistor R5 and an anode of the diode D1, a second terminal of the capacitor C2 is connected to the power ground, a second terminal of the resistor R5 is connected to a first terminal of the resistor R4 and the feedback terminal FB of the buck chip unit U1, a second terminal of the resistor R4 is connected to the power ground, a compensation terminal COMP of the buck chip unit U1 is connected to a first terminal of the capacitor C4, a second terminal of the capacitor C4 is connected to a first terminal of the resistor R3, a second terminal of the resistor R56 is connected to the power ground, a second terminal of the power supply terminal of the buck chip unit U828653, a second end of the capacitor C3 is connected with a power ground, and a power ground end GND of the buck chip unit U1 is connected with the power ground;
the cathode of the diode D1 is respectively connected with the first end of the resistor R20, the anode of the power indicator LED2, the cathode of the diode D2, the drain of the P-channel enhancement type field effect transistor Q1, the first end of the capacitor C8, the first end of the capacitor C14 and the power voltage input end Vin of the buck chip unit U4, the negative electrode of the diode D1 outputs 5V power voltage, the grid of the P-channel enhancement type field effect transistor Q1 is respectively connected with the positive electrode of the diode D2, the first end of the resistor R14, the power voltage output end Vcc of the USB interface U2, the first end of the resistor R6, the first end of the resistor R7 and the power voltage end Vcc of the charging chip unit U3, the second end of the resistor R14 is connected with the power ground, the power ground end GND of the USB interface U2 is connected with the power ground, the data transmission positive end D + of the USB interface U2 is connected with the USB data transmission positive end of the controller, and the data transmission negative end D-of the USB interface U2 is connected with the USB data transmission negative end of the controller; a second end of the resistor R6 is connected with a second end of the resistor R7 and a charging power supply end CHRG of the charging chip unit U3 respectively, a ground end GND of the charging chip unit U3 is connected with a power ground, a current end PROG of the charging chip unit U3 is connected with a first end of the resistor R8, a second end of the resistor R8 is connected with the power ground, a source electrode of the P-channel enhancement type field effect transistor Q1 is connected with a battery power supply end BAT of the charging chip unit U3, a first end of the resistor R9, a first end of the resistor R10 and a positive electrode of the battery BAT respectively, and a negative electrode of the battery BAT is connected with the power ground;
the cathode of the power indicator LED2 is connected with the first end of the resistor R19, the second end of the resistor R19 is connected with the power ground, the second end of the resistor R20 is respectively connected with the first end of the resistor R21 and the first end of the capacitor C7, and the second end of the capacitor C7 is respectively connected with the second end of the resistor R21, the second end of the capacitor C8, the second end of the capacitor C14 and the power ground;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U4 is respectively connected with a first end of an adjustable resistor R22 and a first end of a resistor R23, a second end of the resistor R23 is respectively connected with a power supply voltage output end Vout of the voltage reduction chip unit U4, a first end of a capacitor C9, a first end of a capacitor C10, a positive electrode of a diode D4, a first end of a capacitor C11, a power supply end of a first indicator lamp driving module, a power supply end of a second indicator lamp driving module and a power supply voltage input end Vin of a voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U4 outputs 3.3V power supply voltage, and a second end of the capacitor C9, a second end of the capacitor C10 and a second end of the capacitor C11 are respectively connected with a;
a cathode of the diode D4 is connected to a cathode of the diode D3 and a first end of the resistor R16, a second end of the resistor R16 is connected to a first end of the resistor R17, a first end of the resistor R18, a first end of the capacitor C5, a first end of the capacitor C6, and a power voltage input VDD of the clock chip unit U5, a second end of the capacitor C5 and a second end of the capacitor C6 are connected to a power ground, a power ground GND of the clock chip unit U5 is connected to the power ground, a second end of the resistor R17 is connected to a clock input SCL of the clock chip unit U5 and a clock output of the controller, and a second end of the resistor R18 is connected to a data terminal SDA of the clock chip unit U5 and a data clock terminal of the controller;
a power supply voltage adjusting end ADJ of the voltage reduction chip unit U6 is respectively connected with a first end of an adjustable resistor R24 and a first end of a resistor R25, a second end of the adjustable resistor R24 is connected with a power supply ground, a second end of a resistor R25 is respectively connected with a first end of a capacitor C12, a first end of a capacitor C13 and a power supply voltage output end Vout of the voltage reduction chip unit U6, the power supply voltage output end Vout of the voltage reduction chip unit U6 outputs 1.1V power, and a second end of a capacitor C12 and a second end of a capacitor C13 are respectively connected with the power supply ground;
the anode of the diode D3 is connected to the cathode of the diode D2 and the anode of the coin battery BAT1, the cathode of the coin battery BAT1 is connected to the power ground, the anode of the diode D2 is connected to the first end of the resistor R15, the second end of the resistor R15 is connected to the first end of the resistor R12 and the first end of the resistor R14, the second end of the resistor R14 is connected to the power ground, the second end of the resistor R12 is connected to the base of the transistor Q2, the emitter of the transistor Q2 is connected to the first end of the resistor R13, the second end of the resistor R13 is connected to the power ground, the collector of the transistor Q2 is connected to the base of the transistor Q3 and the second end of the resistor R10, the collector of the transistor Q3 is connected to the cathode of the power replacement indicator LED1, the anode of the power replacement indicator LED1 is connected to the second end of the resistor R9, the emitter of the transistor Q3 is connected to the first end of the resistor R11, and the second end of the resistor R11 is.
3. The working device for separating image data of doctor-patient experience abnormalities through big data platform as claimed in claim 2, wherein the indicator light-driving module comprises: the first end of an input loop of the relay K1 is connected with 3.3V power supply voltage, the second end of the input loop of the relay K1 is connected with the anode of an indicator light LED3, the cathode of the indicator light LED3 is connected with the collector of a triode Q4, the emitter of the triode Q4 is connected with the first end of a normally closed contact of the relay K2, the second end of the normally closed contact of the relay K2 is respectively connected with the first detection end of an indicator light of the controller and the first end of a resistor R26, the second end of the resistor R26 is connected with the power ground, and the base of the triode Q4 is connected with the first indication end of the controller;
the second indicator lamp driving module comprises: the first end of the relay K2 input loop is connected with 3.3V power voltage, the second end of the relay K2 input loop is connected with the anode of an indicator light LED4, the cathode of the indicator light LED4 is connected with the collector of a triode Q5, the emitter of a triode Q5 is connected with the first end of a normally closed contact of a relay K1, the second end of the normally closed contact of the relay K1 is connected with the second detection end of an indicator light of a controller and the first end of a resistor R27 respectively, the second end of the resistor R27 is connected with the power ground, and the base of the triode Q5 is connected with the second indication end of the controller.
4. The working device for separating doctor-patient experience abnormal image data through the big data platform as claimed in claim 1, wherein a first threaded hole matched with the first threaded rod is formed in the rectangular base, a second threaded hole matched with the first threaded rod is formed in one end face of the vertical upright, and the rectangular base is detachably connected with the vertical upright through the first threaded rod;
a third threaded hole matched with the threaded rod is formed in the other end face of the vertical upright, a fourth threaded hole matched with the threaded rod is formed in the bottom of the transverse upright close to the other end of the transverse upright, and detachable connection of the transverse upright and the vertical upright is achieved through the second threaded rod.
5. A working method for separating doctor-patient experience abnormal image data through a big data platform is characterized by comprising the following steps:
s1, acquiring patient identity information, wherein the patient identity information comprises one or any combination of name, citizen identity number and address;
s2, judging whether the acquired patient identity information is a picture:
if the acquired patient identity information is a picture, executing step S3;
if the acquired patient identity information is not a picture, executing step S4;
s3, extracting the patient identity information in the picture to obtain the patient identity information; step S4 is executed;
and S4, storing the acquired patient identity information to a cloud platform.
6. The working method of separating doctor-patient experience anomaly image data through big data platform as claimed in claim 5, further comprising S0 before step S1, system initialization; the method specifically comprises the following steps:
s01, the first indicating end of the controller sends conducting level to the triode Q4, the controller judges whether the voltage value detected by the first detecting end of the indicator light of the controller is within the preset first voltage threshold range:
if the voltage value detected by the first detection end of the indicator light of the controller is within the preset first voltage threshold range, the indicator light LED3 is in a normal state; the first indicating end of the controller sends a cutoff level to the triode tube Q4; step S02 is executed;
if the voltage value detected by the first detection end of the indicator light of the controller is not within the preset first voltage threshold range, the controller sends first warning information to the cloud platform, wherein the first warning information is that the indicator light LED3 is damaged and needs to be replaced in time; step S02 is executed;
s02, the second indicating end of the controller sends conducting level to the triode Q5, the controller judges whether the voltage value detected by the second detecting end of the indicator light of the controller is within the preset second voltage threshold range:
if the voltage value detected by the second detection end of the indicator light of the controller is within the preset second voltage threshold range, the indicator light LED4 is in a normal state; the second indicating end of the controller sends a cutoff level to the triode tube Q5; step S03 is executed;
if the voltage value detected by the second detection end of the indicator light of the controller is not within the preset second voltage threshold range, the controller sends second warning information to the cloud platform, and the second warning information indicates that the indicator light LED4 is damaged and needs to be replaced in time; step S03 is executed;
and S03, the controller sends an operation signal to the proximity sensor, and the proximity sensor operates.
7. The working method of separating doctor-patient experience anomaly image data through big data platform as claimed in claim 5, wherein step S1 includes the following steps:
s11, the controller judges whether the controller receives the proximity information sent by the proximity sensor, namely, the controller indicates that an object is placed on the sensing area at the moment;
if the controller receives the proximity information sent by the proximity sensor, the controller sends a working signal to the sensing module of the controller, and the sensing module works;
if the controller does not receive the proximity information sent by the proximity sensor, the controller continues to wait;
s12, the controller judges whether the induction module reads the patient identity information built in the object:
if the sensing module reads the patient identity information built in the object, the controller sends a conducting level to a triode Q4 of the sensing module, and an indicator light LED3 is lightened to indicate that the patient identity information is obtained;
if the induction module does not read the identity information of the patient in the object, the controller sends a work stopping signal to the induction module, and the induction module stops working; and sends working signal to its lens; the camera works;
s13, the controller judges whether the number of pictures shot by the controller is larger than or equal to a preset number threshold:
if the number of the shot pictures is smaller than a preset number threshold value, the camera continues shooting;
if the number of the shot pictures is larger than or equal to the preset number threshold value, the controller sends a conducting level to a triode Q5 of the picture, and an indicator light LED4 is lightened to indicate that the patient identity picture information is obtained;
s14, after the object placed on the sensing area is taken away, the controller does not receive the approach information sent by the approach sensor, the controller sends cut-off level to the triode Q4 and the triode Q5, and the indicator light LED3 and the indicator light LED4 are turned off.
8. The working method of separating abnormal image data of doctor-patient experience through big data platform as claimed in claim 5, wherein in step S3, the method for extracting the patient identity information in the picture to obtain the patient identity information thereof includes the following steps:
s31, numbering the shot pictures in sequence, wherein the number is K1、K2、K3、……、KkWherein k represents the total number of the shot pictures and is a positive integer greater than or equal to 1; k1Denotes picture 1, K2Denotes picture 2, K3Denotes picture 3, KkWhich represents the k-th picture and the k-th picture,
s32, for the ith picture KiPerforming image processing, wherein i is a positive integer less than or equal to k, and obtaining a gray-scale processing image thereof, and the method for obtaining the gray-scale processing image comprises the following steps:
Grayx,y＝(Rx,y×r+Gx,y×g+Bx,y×b)＞＞f，
wherein, Grayx,yRepresenting the gray value of the pixel point at the picture coordinate (x, y);
Rx,yrepresenting the pixel point red magnitude at picture coordinates (x, y);
Gx,yrepresenting the pixel point green magnitude at picture coordinates (x, y);
Bx,yrepresenting the pixel point blue magnitude at picture coordinates (x, y);
r represents a red magnitude harmonic coefficient;
g represents a green magnitude harmonic coefficient;
b represents a blue magnitude harmonic coefficient;
r+g+b＝255；
f represents the color chroma digit number;
s33, performing rotation transformation on the gray-scale processed image to obtain a rotation transformed image, wherein the method for obtaining the rotation transformed image comprises:
s331, acquiring width and height of the gradation-processed image, and determining whether the width of the gradation-processed image is greater than or equal to the height of the gradation-processed image:
if the width of the gray processing image is larger than or equal to the height of the gray processing image, establishing a square canvas by taking 2 times of the width of the gray processing image as the side length;
if the width of the gray processing image is smaller than the height of the gray processing image, establishing a square canvas by taking 2 times of the height of the gray processing image as the side length;
s332, placing the center of the gray processing image in the center of the square canvas;
s333, arbitrarily selecting pixel point (x) on the gray processing image0,y0) For the gray scale processing of other pixels (x) on the imagej,yj) At the radius thereof
Figure FDA0003005700570000081
Around the pixel point (x)0,y0) Rotation of the centre of rotation α, α ∈ (0,2 π)](ii) a Obtain its rotation transformation alpha1Image, rotation transformation alpha2Image, rotation transformation alpha3Image, rotation transformation alphaζImage, alpha1＜α2＜α3＜…＜αζ，αξ∈(0,2π]Xi is the total number of rotations;
Figure FDA0003005700570000082
s334, selecting rotation transformation by using the rectangular frame
Figure FDA0003005700570000083
And obtaining the framing character of the character in the image, and judging whether the framing character is consistent with the preset character or not:
if the frame-selected character is consistent with the preset character, the rotation is changed
Figure FDA0003005700570000084
The image is a rotation transformation image;
if the frame-selected character is not consistent with the preset character, then
Figure FDA0003005700570000085
Returning to step S334;
and S34, extracting and obtaining the identity information of the patient according to the rotation transformation image.
9. The working method of separating abnormal image data of doctor-patient experience through the big data platform as claimed in claim 5, wherein in step S4, the method for storing the acquired patient identity information to the cloud platform includes the following steps:
s41, the cloud platform performs Hash function operation on the acquired patient citizen identity number to obtain the patient identity code, and the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
s42, the cloud platform judges whether the patient identity code exists in the cloud platform:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure FDA0003005700570000091
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
establishing a folder by taking the obtained patient identity code as a file name under a database directory, and storing the patient identity information in the established folder;
and if the patient identity code exists in the cloud platform, storing the patient identity information in a folder corresponding to the patient identity code.
10. The working method for separating doctor-patient experience anomaly image data through the big data platform as claimed in claim 5, wherein when the patient's examination data of the current day is uploaded to the cloud-end platform for storage, the patient's examination data includes one or any combination of blood routine examination data, urine routine examination data and X-ray film data, and the working method comprises the following steps:
s101, extracting the patient citizen identity number in the patient detection data, and performing Hash function operation on the obtained patient citizen identity number to obtain the patient identity code, wherein the method for obtaining the patient identity code comprises the following steps:
A(PII)Hexadecimal＝Hash(PII,Hexadecimal)，
wherein, A (PII)HexadecimalThe patient citizen identity number PII is used for obtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
102, the cloud platform judges whether the patient identity code exists in the cloud platform by taking the search word as a file name or not by taking the patient identity code as the search word:
if the patient identity code does not exist in the cloud-end platform, the patient identity code is obtained again; the method for reacquiring the patient identity code comprises the following steps:
A(PII)Binary＝Hash(PII,Binary)，
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
binary represents Binary;
Figure FDA0003005700570000111
wherein, A (PII)BinaryRepresenting that the patient citizen identity number PII is subjected to a Hash function MD5 to obtain a binary substitution code thereof;
A(A(PII)Binary)Hexadecimalrepresents a substitution code A (PII)BinaryObtaining a hexadecimal patient identity code through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
PII represents the patient's citizen identification number;
hexadecimal stands for Hexadecimal;
binary represents Binary;
step S103 is executed;
if the cloud platform exists, executing step S103;
s103, packing the patient detection data of the same day to obtain packed data of the patient detection data, and performing Hash function operation on the packed data to obtain a packed code of the patient detection data, wherein the method for obtaining the packed code comprises the following steps:
A(Pack)Hexadecimal＝Hash(Pack,Hexadecimal)，
wherein, A (pack)HexadecimalRepresenting that the packed data Pack obtains a hexadecimal packing code thereof through a Hash function MD 5;
hash (,) represents the Hash function operation of MD 5;
pack represents packed data;
hexadecimal stands for Hexadecimal;
s104, packing the code A (pack)HexadecimalAnd obtaining renamed packed data of the packed data Pack as the file name of the packed data Pack, and storing the renamed packed data under a folder corresponding to the search term.
CN202110361309.3A 2021-04-02 2021-04-02 Working method for separating doctor-patient experience abnormal image data through big data platform Withdrawn CN113095329A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110361309.3A CN113095329A (en) 2021-04-02 2021-04-02 Working method for separating doctor-patient experience abnormal image data through big data platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110361309.3A CN113095329A (en) 2021-04-02 2021-04-02 Working method for separating doctor-patient experience abnormal image data through big data platform

Publications (1)

Publication Number Publication Date
CN113095329A true CN113095329A (en) 2021-07-09

Family

ID=76673875

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110361309.3A Withdrawn CN113095329A (en) 2021-04-02 2021-04-02 Working method for separating doctor-patient experience abnormal image data through big data platform

Country Status (1)

Country Link
CN (1) CN113095329A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114513593A (en) * 2022-01-25 2022-05-17 重庆医药高等专科学校 Mass image acquisition working method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203552275U (en) * 2013-10-16 2014-04-16 北京富兴隆科技有限公司 A multi-information reading type digital shooting instrument
US20160292528A1 (en) * 2015-03-31 2016-10-06 Nidec Sankyo Corporation Character segmentation device, character recognition device and character segmentation method
CN206490735U (en) * 2017-03-08 2017-09-12 北京博雅英杰科技股份有限公司 High photographing instrument and high bat device
CN108446699A (en) * 2018-02-08 2018-08-24 东华大学 Identity card pictorial information identifying system under a kind of complex scene
CN108734235A (en) * 2018-04-04 2018-11-02 四川骏逸富顿科技有限公司 A kind of personal identification method and system for electronic prescription
CN111341460A (en) * 2020-03-18 2020-06-26 重庆市智权之路科技有限公司 Medical archive data mining system based on block chain and working method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203552275U (en) * 2013-10-16 2014-04-16 北京富兴隆科技有限公司 A multi-information reading type digital shooting instrument
US20160292528A1 (en) * 2015-03-31 2016-10-06 Nidec Sankyo Corporation Character segmentation device, character recognition device and character segmentation method
CN206490735U (en) * 2017-03-08 2017-09-12 北京博雅英杰科技股份有限公司 High photographing instrument and high bat device
CN108446699A (en) * 2018-02-08 2018-08-24 东华大学 Identity card pictorial information identifying system under a kind of complex scene
CN108734235A (en) * 2018-04-04 2018-11-02 四川骏逸富顿科技有限公司 A kind of personal identification method and system for electronic prescription
CN111341460A (en) * 2020-03-18 2020-06-26 重庆市智权之路科技有限公司 Medical archive data mining system based on block chain and working method thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
彭力 等: "《无线射频识别（RFID）工程实践》", 31 August 2013 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114513593A (en) * 2022-01-25 2022-05-17 重庆医药高等专科学校 Mass image acquisition working method
CN114513593B (en) * 2022-01-25 2024-04-16 重庆医药高等专科学校 Mass picture acquisition working method

Similar Documents

Publication Publication Date Title
CN111860652B (en) Method, device, equipment and medium for measuring animal body weight based on image detection
EP2481025A1 (en) Estimating aesthetic quality of digital images
CN101546376A (en) Human body biological information acquisition system, human face photo acquisition and quality inspection system and method
CN113095329A (en) Working method for separating doctor-patient experience abnormal image data through big data platform
CN112507923A (en) Certificate copying detection method and device, electronic equipment and medium
CN112528908A (en) Living body detection method, living body detection device, electronic apparatus, and storage medium
CN101860680B (en) Image processing device and image processing method thereof
CN101800834A (en) Device and method for compensating exchangeable image file information of digital image
CN108270958A (en) Camera module Adaptable System and its adaptive approach
CN106652898B (en) LED shows pointwise correction method
CN108156351A (en) For the digital image monitor equipment of security protection inspection
CN107180417A (en) Photo processing method, device, computer-readable recording medium and electronic equipment
US20030012435A1 (en) Apparatus and method for machine vision
CN113822249B (en) Method and equipment for monitoring position of hidden danger of overhead line
CN105262943A (en) Thermal image recording device, thermal image processing device, thermal image recording method and thermal image processing method
CN110210401A (en) A kind of Intelligent target detection method under dim light
CN104655284B (en) Analysis device, processing device, analysis method, and processing method
CN113324616A (en) Water level monitoring system and method based on image forming processing
CN105224896A (en) Pen recorder, treating apparatus and recording method, disposal route
CN113792801A (en) Method, device and equipment for detecting dazzling degree of human face and storage medium
JP2003022443A (en) Device, method, and program for image comparison, and device and method for photography
CN115509351B (en) Sensory linkage situational digital photo frame interaction method and system
JP2011077753A (en) Face detection method and device of camera
CN111210438A (en) Mirror
CN103900713A (en) Device and method for detecting thermal image

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20210709