CN207867523U - Living body faces detection device - Google Patents
Living body faces detection device Download PDFInfo
- Publication number
- CN207867523U CN207867523U CN201721695252.6U CN201721695252U CN207867523U CN 207867523 U CN207867523 U CN 207867523U CN 201721695252 U CN201721695252 U CN 201721695252U CN 207867523 U CN207867523 U CN 207867523U
- Authority
- CN
- China
- Prior art keywords
- central processing
- processing unit
- living body
- detection device
- camera
- 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.)
- Expired - Fee Related
Links
Landscapes
- Radiation Pyrometers (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The utility model provides a kind of living body faces detection device, and the living body faces detection device includes:Camera, infrared thermopile sensor, central processing unit;The camera connects the central processing unit, for the video image of acquisition to be sent to the central processing unit, to identify the face characteristic information in video image;The infrared thermopile sensor connects the central processing unit, the temperature value for acquiring current environment, and there are judging results to central processing unit transmission live body;The central processing unit is used to control the identification of the video image of the camera transmission, and the output of the identified face characteristic information of control.The utility model living body faces detection device has the advantages that hardware cost is low, highly reliable, easy to operate.
Description
Technical field
The utility model is related to technical field of face recognition more particularly to living body faces detection devices.
Background technology
In intelligent increasingly mature modern society, recognition of face becomes one, living things feature recognition field important composition list
Member.In the application fields such as identification safety verification, credit card validation, bank and customs monitoring, human-computer interaction, recognition of face
It is more convenient more reliable than fingerprint recognition, iris recognition.Since face recognition technology uses contactless acquisition mode, adopt
Collection process is more hidden and conveniently, therefore is widely used in various application occasions.
Existing general face recognition technology is to obtain video image in real time by video camera, and carry out base to video image
In the image procossing of face characteristic algorithm, to obtain facial image to carry out later stage application processing.Currently, such two-dimension human face
Identification technology is mature on the whole, and has corresponding algorithms library for providing a variety of face recognition algorithms.However, face recognition algorithms
It is mainly based upon the popularization of two-dimentional dynamic video, there are great security risks, such as can not differentiate that the face of video image is
Face in true man's face or photo, it means that someone holds someone photo can also pass through face against camera
Detection, and then gets by under false pretences, and causes serious security breaches, unattended occasion more so.
In order to overcome the shortcomings of two-dimension human face identification technology, proposed various biological feather recognition methods, for example, it is hot at
As vivo identification, but such living things feature recognition equipment price is high, bulky, is not suitable for using in hidden occasion.In addition,
Have researcher and carries out correlative study for three-dimensional face identification technology.Wherein, three-dimensional face is carried out using binocular camera
Identification is current more popular possible technique, but due to involving huge algorithmic technique and iconic model construction, three-dimensional ratio
Equity, R&D costs and difficulty are huge, also constrain the development of such three-dimensional face identification technology.
The above is only used for auxiliary and understands the technical solution of the utility model, does not represent and recognizes that the above is existing
Technology.
Utility model content
The main purpose of the utility model is to provide a kind of living body faces detection devices, it is intended to which solution is currently used for identifying
The high problem of the face recognition device hardware costs of living body faces.
To achieve the above object, the utility model provides a kind of living body faces detection device, and the living body faces detection is set
It is standby to include:Camera, infrared thermopile sensor, central processing unit;
The camera connects the central processing unit, for the video image of acquisition to be sent to the central processing
Device, to identify the face characteristic information in video image;
The infrared thermopile sensor connection central processing unit, the temperature value for acquiring current environment, and to
The central processing unit sends live body, and there are judging results;
The central processing unit is used to control the identification of the video image of the camera transmission, and controls identified
The output of the face characteristic information.
Preferably, the living body faces detection device further includes PCB main board, and the camera is passed with the infrared thermopile
Sensor is adjacent to be installed on the PCB main board.
Preferably, the optical axis of the camera and the optical axis of the infrared thermopile sensor are parallel to each other.
Preferably, the infrared thermopile sensor includes infrared thermopile temperature transducer or infrared thermopile array
Sensor.
Preferably, the quantity of the infrared thermopile sensor is single or multiple.
Preferably, the infrared thermopile sensor is provided with micro-control unit, and the micro-control unit is used to be based on to work as
Preceding ambient temperature value carries out temperature feedback to the temperature value of measurement and compensates to obtain true temperature value.
Preferably, the micro-control unit is additionally operable to the live body that will be obtained there are judging results to export to the central processing
Device.
Preferably, the living body faces detection device further includes face identification unit;The face identification unit with it is described
Central processing unit connects, and the video image for being received the central processing unit is handled, to identify in video image
Face characteristic information.
Preferably, the living body faces detection device further includes output unit;The output unit and the central processing
Device connects, the face characteristic information for exporting the face identification unit identification.
Preferably, the camera further includes video decoding unit.
A kind of living body faces detection device that the utility model embodiment proposes, the living body faces detection device include:
Camera, infrared thermopile sensor, central processing unit;The camera connects the central processing unit, so as to what will be acquired
Video image is sent to the central processing unit;The infrared thermopile sensor connects the central processing unit, for detecting
The temperature value of current environment sends live body to the central processing unit and deposits to judge whether that current environment whether there is live body
In judging result.In this way, obtaining the face characteristic information in video image, identification video image by using camera, simultaneously
Judge that current environment whether there is live body by using infrared thermopile sensor.Work as front ring when the central processing unit receives
After border is there are the judging result of live body, face characteristic information is exported.Face characteristic letter is exported after detecting live body to realize
The living body faces of breath identify that the living body faces detection device has the advantages that hardware cost is low, highly reliable, easy to operate.
Description of the drawings
In order to illustrate the embodiment of the utility model or the technical proposal in the existing technology more clearly, below will be to embodiment
Or attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
It is some embodiments of the utility model, for those of ordinary skill in the art, in the premise not made the creative labor
Under, the structure that can also be shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the structural schematic diagram of the utility model living body faces detection device embodiment;
Fig. 2 is the living body faces testing process schematic diagram of the utility model living body faces detection device embodiment
Fig. 3 is a kind of living body faces detection device vertical view of the utility model;
Fig. 4 is living body faces detection device front view shown in Fig. 3;
Fig. 5 is the utility model another kind living body faces detection device vertical view;
Fig. 6 is living body faces detection device front view shown in fig. 5;
Fig. 7 is the face temperature profile detected using 8*8 array types;
Fig. 8 is the face temperature profile detected using 1*2 array types;
Fig. 9 is the structural schematic diagram of another embodiment of the utility model living body faces detection device.
Drawing reference numeral explanation:
The embodiments will be further described with reference to the accompanying drawings for the realization, functional characteristics and advantage of the utility model aim.
Specific implementation mode
The following will be combined with the drawings in the embodiments of the present invention, carries out the technical scheme in the embodiment of the utility model
Clearly and completely describing, it is clear that described embodiment is only a part of the embodiment of the utility model, rather than all
Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
If it is to be appreciated that related in the utility model embodiment directionality instruction (such as upper and lower, left and right, it is preceding,
Afterwards ...), then directionality instruction be only used for explain it is opposite between each component under a certain particular pose (as shown in the picture)
Position relationship, motion conditions etc., if the particular pose changes, directionality instruction also correspondingly changes correspondingly.
If, should " first ", " the in addition, relate to the description of " first ", " second " etc. in the utility model embodiment
Two " etc. description is used for description purposes only, and is not understood to indicate or imply its relative importance or is implicitly indicated meaning
The quantity of the technical characteristic shown." first " is defined as a result, the feature of " second " can explicitly or implicitly include at least one
A this feature.In addition, the technical solution between each embodiment can be combined with each other, but must be with ordinary skill
Personnel can be implemented as basis, will be understood that this technical side when the combination of technical solution appearance is conflicting or cannot achieve
The combination of case is not present, also not within the protection domain of the requires of the utility model.
The utility model proposes a kind of living body faces detection devices.
In one embodiment of the utility model, as shown in Figure 1, the living body faces detection device includes:Camera 100,
Infrared thermopile sensor 200, central processing unit 300;The camera 100 connects the central processing unit 300, for that will adopt
The video image of collection is sent to the central processing unit 300, to identify the face characteristic information in video image;The infrared heat
Pile sensor 200 connects the central processing unit 300, the temperature value for acquiring current environment, and to the central processing
Device 300 sends live body, and there are judging results;The central processing unit 300 is used to control the video figure of the transmission of the camera 100
The identification of picture, and control the output of the identified face characteristic information.In the present embodiment, the infrared thermopile passes
Sensor 200 is specially infrared thermopile temperature transducer, such as non-array formula independent electrical thermal reactor monomer sensor;The infrared heat
Pile sensor 200 can also be that infrared thermopile sensor array, array type may include but be not limited to:2*2、4*4、8*8、
16*16.The quantity of the infrared thermopile sensor 200 can be single, can also be multiple.Respectively implement in the utility model
In example, it is preferred to use infrared thermopile sensor array.Each embodiment of the utility model using infrared thermopile array to be passed
Sensor illustrated to the utility model.
As shown in Fig. 2, the flow that Fig. 2 is living body faces detection device provided in this embodiment implementation living body faces detection is shown
It is intended to.When the living body faces detection device is in normal operating conditions, camera 100 starts to acquire after successful initialization
Video image under current environment, and the video image of acquisition is decoded processing, and by the video figure after decoding process
As being sent to central processing unit 300.Central processing unit 300 is responsible for control and carries out facial image identification to the video image received
Processing.Preferably, central processing unit 300 issues identification control to the face identification unit of the living body faces detection device and refers to
It enables, so that face identification unit carries out facial image identifying processing to the video image received, and is sent to central processing unit
Facial image recognition result.According to facial image recognition result, if detecting face characteristic information, central processing unit is triggered
300 to infrared thermopile sensor 200 send live body there are judging result obtain ask.Wherein, the face characteristic information packet
Include facial image or other face characteristic informations.
While camera 100 acquires video image, infrared thermopile sensor 200 carries out array initialization, and examines
The temperature value for surveying current environment filters out the array point more than default environment temperature threshold value (being assumed to be 30 DEG C), and to these battle arrays
Row click through trip temperature feedback compensation and obtain the true temperature value of array point.Further, it is obtained according to the above-mentioned array point filtered out
Facial image is got, and judges the facial image whether in the optimum detection area of infrared thermopile sensor 200, i.e. Analysis and Screening
The position distribution situation of the array point gone out, when the position distribution of above-mentioned array point is not in the center of all array point distributed images
When domain, voice prompt is sent out, to prompt detected object to be moved toward the detecting element optical axis direction of infrared thermopile sensor 200
It is dynamic.When confirming that detected object has been moved into the central area of all array point distributed images, infrared thermopile sensor 200
According to the temperature value of each array point detected and default live body there are judgment rule, judge that current environment whether there is live body,
Can be obtained live body, there are judging results.Preferably, there are judgment rules to be for the default live body:By the temperature value of array point with
Preset temperature threshold compares, when the ratio of array point quantity and array point total quantity more than preset temperature threshold is more than default ratio
When example value, there are live bodies for judgement current environment.It is asked when the live body for receiving the transmission of central processing unit 300 is obtained there are judging result
When asking, returning to corresponding live body to central processing unit 300, there are judging results.It should be noted that infrared thermopile sensor
200 can also detect face characteristic information and receive central processing unit issue temperature detection instruction after, just execute currently
The detection and subsequent operation of the temperature value of environment.
The central processing unit 300 is used for the live body according to reception there are judging result, judges whether that output has been known
Other face characteristic information.It specifically includes:When judge there are when live body, export identified face characteristic information;When sentencing
Break there is no when live body, does not execute output step.
Technical solutions of the utility model are adopted by using the combination of camera and infrared thermopile sensor using camera
Collect the video image of current environment to identify face characteristic information, current environmental temperature is detected using infrared thermopile sensor
Value is to judge that current environment whether there is live body.Under the premise of identifying face characteristic information, obtain live body judging result with
Judge whether to the output of face characteristic information.Combination of hardware based on camera Yu infrared thermopile sensor, in addition people
The output of face characteristic information selects controlling mechanism, has effectively achieved In vivo detection and recognition of face and output, highly reliable, behaviour
Make easy.Hardware cost is relatively low simultaneously, is advantageously implemented the popularization of living body faces detection device provided by the utility model.
In one embodiment, as shown in Figures 3 to 6, the living body faces detection device further includes PCB main board, camera
It is adjacent with infrared thermopile sensor to be installed on the PCB main board.Preferably, the optical axis of the camera and the infrared heat
The optical axis of pile sensor is parallel to each other, to ensure the detection accuracy of camera and infrared thermopile sensor.
In one embodiment, the quantity of the infrared thermopile sensor is single or multiple.For example, such as Fig. 3 and Fig. 4 institutes
A kind of living body faces detection device shown includes PCB main board PCB-01, camera 100-01 and infrared thermopile sensor 200-
01 adjacent is installed on the PCB main board PCB-01.The quantity of infrared thermopile sensor 200-01 is single, is preferably adopted at this time
With infrared electric heating heap sensor array.In addition, the video image of camera 100-01 acquisition via 100-a output ports export to
Central processing unit;There are judging results via the output of 200-a output ports for the live body that infrared thermopile sensor 200-01 is obtained
To central processing unit.Fig. 5 and another living body faces detection device shown in fig. 6 include PCB main board PCB-02, camera 100-
02 with infrared thermopile sensor 200-02,200-03 are adjacent respectively is installed on the PCB main board PCB-02, infrared heat at this time
Pile sensor 200-02,200-03 preferably use two infrared electric heating heap monomer sensors.In addition, camera 100-02 is adopted
The video image of collection is exported via 100-b output ports to central processing unit;Infrared thermopile sensor 200-01,200-02 are obtained
To live body there are judging results to be exported respectively to central processing unit via 200-b, 200-c output port.
It should be noted that when the quantity of infrared thermopile sensor is multiple, the infrared thermopile sensor of use
It can also be the combination of infrared electric heating heap sensor array and infrared electric heating heap monomer sensor.Infrared thermopile array scanning point
It counts and angle can be determined by measured object distance, concretely electric heating heap monomer 1x1,1*2 or array 8*8,16*16,24*32
Deng.Living body faces detection device provided by the utility model preferably uses 16*16 arrays.In addition, the inspection obtained using 8*8 arrays
Testing temperature Distribution value figure is as shown in Figure 7;In the spy of short distance detection (with the standoff distance of detected object within 30 centimetres)
Determine to be provided with the living body faces detection device of the utility model embodiment offer in occasion, such as mobile phone portable device, it can be with
1*2 arrays are selected, to reduce hardware cost.The detection temperature value distribution map obtained at this time is as shown in Figure 8.
In one embodiment, as shown in figure 9, the infrared thermopile sensor 200 is provided with micro-control unit 201;Institute
State micro-control unit 201 for be based on current environmental temperature value, temperature feedback compensation is carried out to obtain very to the temperature value of measurement
Real temperature value.
While camera 100 acquires video image, infrared thermopile sensor 200 carries out array initialization, and examines
The temperature value for surveying current environment filters out the array point more than default environment temperature threshold value (being assumed to be 30 DEG C);In view of season
The influence of variation and variation of ambient temperature to body temperature clicks through trip temperature feedback compensation to obtain to the array that these are filtered out
The true temperature value of array point.Actual temp compensation formula refers to such as following formula:Y=kX+m, wherein Y becomes for current environmental temperature
The temperature value of the array point compensated through excess temperature after change, X are current environmental temperature value (unit is DEG C), and k is forehead coefficient
(male 0.080, women 0.092), m are forehead temperature constant (male 32.510, women 32.394).According to correlation
Research, influence of the environment temperature to vital body temperature is in the influence of In vivo detection and little, from the point of view of the example by forehead thermometric, from 23
During DEG C -38 DEG C of variation of ambient temperature, the variation of live body forehead temperature is about about 1 DEG C.After temperature-compensating
Each array point true temperature Distribution value figure is as shown in Figures 7 and 8.
Further, the micro-control unit 201 is additionally operable to the live body that will be obtained there are judging results to export in described
Central processor 300.
Specifically, there are judgment rules according to the temperature value of acquisition and default live body for the micro-control unit 201, judge institute
It states current environment and whether there is live body, and there are judging results to export to the central processing unit 300 by live body.Wherein, institute
Stating default live body, there are decision rules to specifically include:When each array point on any 2*2 arrays Point location detection region is currently warm
Angle value is more than preset temperature threshold (preset temperature threshold is 30-40 DEG C), that is, judges that there are live bodies in the detection zone.It is described
Micro-control unit receives timing acquiring current environmental temperature value, and traverses the temperature data of acquisition, according to temperature data and presets
Numerical difference between temperature threshold distinguishes the array point more than preset temperature threshold, judges to exist according to default live body
Rule judges whether live body.It should be noted that living body faces detection device provided by the utility model match in
When the portable close induction type terminal such as mobile phone is arranged, if the infrared thermopile sensor of living body faces detection device and measured object interval distance
From less than 30 centimetres, and infrared thermopile sensor is 1 or the non-dot matrix electric heating heap sensor of 2 independences, as long as then described
Each measurement point temperature value of infrared thermopile sensor is in threshold range, you can assert that there are there are live bodies in detection zone.
After completing live body and there is judgement, asked if the live body for receiving central processing unit transmission is obtained there are judging result
When, by live body, there are judging results to export to the central processing unit 300.For example, when there are live body, output characters " 1 " for detection;
If live body is not detected, output character " 0 ".
In the present embodiment, micro-control unit is provided with by infrared thermopile sensor, realizes and sentences existing for live body
It is disconnected.The feedback compensation of live body corresponding array point temperature value is calculated by micro-control unit, obtains the true of live body corresponding array point
Real temperature value improves the detection accuracy of infrared thermopile sensor to really reflect the temperature value of live body.
In one embodiment, the camera further includes video decoding unit 101.
Face characteristic information source is the video flowing of camera acquisition, and to obtain video frame images, the video decoding is single
Member 101 is for reading live video stream and parsing video frame images;After parsing video frame images, using buffer queue,
Send frame image to central processing unit 300.
In one embodiment, the living body faces detection device further includes face identification unit 400;The recognition of face list
Member 400 is connect with the central processing unit 300, at the video frame images for being received the central processing unit 300
Reason, to identify the face characteristic information in video frame images.For example, the color video frame image of acquisition is converted into gray-scale map
Picture, establishes gray level image histogram, and by gray level image histogram equalization;The training library of load image processing, based on equilibrium
The face in gray level image histogram detection gray level image after change, and an object comprising face information is returned to obtain people
Face region, finally extracts facial image.
In one embodiment, the living body faces detection device further includes output unit 500;The output unit with it is described
Central processing unit 300 connects, the face characteristic letter identified based on video frame images for exporting the face identification unit 400
Breath.The face characteristic information that the face identification unit 400 obtains is identified by the output unit 500, and is exported to it
His relevant device, such as entrance guard device, safety cabinet, to assist to complete the safety protection functions such as unlock, decryption.
The above is only the preferred embodiment of the present invention, and it does not limit the scope of the patent of the present invention,
Under every innovation and creation in the utility model are conceived, equivalent structure made based on the specification and figures of the utility model
Transformation, or directly/be used in other related technical areas indirectly and be included in the scope of patent protection of the utility model.
Claims (5)
1. a kind of living body faces detection device, which is characterized in that the living body faces detection device includes:Camera, infrared heat
Pile sensor, central processing unit;
The camera connects the central processing unit, for the video image of acquisition to be sent to the central processing unit, with
Identify the face characteristic information in video image;
The infrared thermopile sensor connects the central processing unit, the temperature value for acquiring current environment, and to described
Central processing unit sends live body, and there are judging results;
The central processing unit is used to control the identification of the video image of the camera transmission, and controls identified described
The output of face characteristic information;
The living body faces detection device further includes PCB main board, camera peace adjacent with the infrared thermopile sensor
Loaded on the PCB main board.
2. living body faces detection device as described in claim 1, which is characterized in that the optical axis of the camera with it is described infrared
The optical axis of thermopile sensor is parallel to each other.
3. living body faces detection device as described in claim 1, which is characterized in that the infrared thermopile sensor includes red
Outer thermoelectric pile temperature transducer or infrared thermopile sensor array.
4. living body faces detection device as described in claim 1, which is characterized in that the quantity of the infrared thermopile sensor
It is single or multiple.
5. living body faces detection device as described in claim 1, which is characterized in that the camera further includes that video decoding is single
Member.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721695252.6U CN207867523U (en) | 2017-12-07 | 2017-12-07 | Living body faces detection device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721695252.6U CN207867523U (en) | 2017-12-07 | 2017-12-07 | Living body faces detection device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN207867523U true CN207867523U (en) | 2018-09-14 |
Family
ID=63468222
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201721695252.6U Expired - Fee Related CN207867523U (en) | 2017-12-07 | 2017-12-07 | Living body faces detection device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN207867523U (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109634129A (en) * | 2018-11-02 | 2019-04-16 | 深圳慧安康科技有限公司 | Implementation method, system and the device actively shown loving care for |
CN111223225A (en) * | 2020-02-11 | 2020-06-02 | 厦门瑞为信息技术有限公司 | Detection passing system integrating temperature measurement and face recognition gate machine partner |
CN111292455A (en) * | 2020-03-05 | 2020-06-16 | 深圳市君利信达科技有限公司 | Customs gate detection system based on face and fingerprint identification |
CN111486968A (en) * | 2020-05-29 | 2020-08-04 | 张梅 | Early warning method for infrared temperature measurement camera |
CN111521281A (en) * | 2020-04-15 | 2020-08-11 | 杭州涂鸦信息技术有限公司 | Infrared temperature measurement system and temperature measurement method thereof |
CN111797677A (en) * | 2020-05-13 | 2020-10-20 | 南京中科道置智能科技有限公司 | Face recognition living body detection method based on face iris recognition and thermal imaging technology |
CN113408377A (en) * | 2021-06-03 | 2021-09-17 | 山东交通学院 | Face living body detection method based on temperature information |
CN113612939A (en) * | 2020-04-17 | 2021-11-05 | 上海邦定建筑科技有限公司 | Indoor personnel detection camera based on infrared sensing array |
-
2017
- 2017-12-07 CN CN201721695252.6U patent/CN207867523U/en not_active Expired - Fee Related
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109634129A (en) * | 2018-11-02 | 2019-04-16 | 深圳慧安康科技有限公司 | Implementation method, system and the device actively shown loving care for |
CN109634129B (en) * | 2018-11-02 | 2022-07-01 | 深圳慧安康科技有限公司 | Method, system and device for realizing active care |
CN111223225A (en) * | 2020-02-11 | 2020-06-02 | 厦门瑞为信息技术有限公司 | Detection passing system integrating temperature measurement and face recognition gate machine partner |
CN111292455A (en) * | 2020-03-05 | 2020-06-16 | 深圳市君利信达科技有限公司 | Customs gate detection system based on face and fingerprint identification |
CN111521281A (en) * | 2020-04-15 | 2020-08-11 | 杭州涂鸦信息技术有限公司 | Infrared temperature measurement system and temperature measurement method thereof |
CN113612939A (en) * | 2020-04-17 | 2021-11-05 | 上海邦定建筑科技有限公司 | Indoor personnel detection camera based on infrared sensing array |
CN111797677A (en) * | 2020-05-13 | 2020-10-20 | 南京中科道置智能科技有限公司 | Face recognition living body detection method based on face iris recognition and thermal imaging technology |
CN111797677B (en) * | 2020-05-13 | 2024-04-02 | 南京中科道置智能科技有限公司 | Face recognition living body detection method based on face iris recognition and thermal imaging technology |
CN111486968A (en) * | 2020-05-29 | 2020-08-04 | 张梅 | Early warning method for infrared temperature measurement camera |
CN113408377A (en) * | 2021-06-03 | 2021-09-17 | 山东交通学院 | Face living body detection method based on temperature information |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN207867523U (en) | Living body faces detection device | |
CN104933344B (en) | Mobile terminal user identity authentication device and method based on multi-biological characteristic mode | |
EP2958014B1 (en) | Controlled access to functionality of a wireless device | |
US20150186711A1 (en) | User authentication through video analysis | |
Koukiou et al. | Drunk person identification using thermal infrared images | |
CN111402481A (en) | Intelligent access control system with body temperature measuring function, control method and computer readable storage medium | |
CN106570489A (en) | Living body determination method and apparatus, and identity authentication method and device | |
CN104217480A (en) | Intelligent entrance guard system based on fingerprint and finger vein joint recognition | |
CN102004906A (en) | Face identification system and method | |
WO2013131407A1 (en) | Double verification face anti-counterfeiting method and device | |
CN105574525A (en) | Method and device for obtaining complex scene multi-mode biology characteristic image | |
CN202559880U (en) | Intelligent door lock system with face detection function | |
CN109190475A (en) | A kind of recognition of face network and pedestrian identify network cooperating training method again | |
KR20150069799A (en) | Method for certifying face and apparatus thereof | |
WO2016127767A1 (en) | Authentication device and method combining finger vein recognition and facial vein recognition | |
CN106650370A (en) | Non-contact encryption method and system for computer | |
CN114724283B (en) | Intelligent access control system and control method thereof | |
CN111695509A (en) | Identity authentication method, identity authentication device, machine readable medium and equipment | |
Mun et al. | Design for visitor authentication based on face recognition technology Using CCTV | |
CN208335212U (en) | A kind of recognition of face image capture device | |
TWM562435U (en) | A living human face detection device | |
CN204204058U (en) | A kind of based on fingerprint and the intelligent access control system referring to combined with intravenous identification | |
CN207440928U (en) | Intelligent early-warning cash dispenser based on multiple-protection | |
CN114495328B (en) | Door lock device and control method thereof | |
US20070232929A1 (en) | Skin detection sensor |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180914 Termination date: 20211207 |