CN109033999A - Subway charge platform based on face recognition - Google Patents
Subway charge platform based on face recognition Download PDFInfo
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- CN109033999A CN109033999A CN201810722403.5A CN201810722403A CN109033999A CN 109033999 A CN109033999 A CN 109033999A CN 201810722403 A CN201810722403 A CN 201810722403A CN 109033999 A CN109033999 A CN 109033999A
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- 238000001514 detection method Methods 0.000 claims abstract description 22
- 238000007689 inspection Methods 0.000 claims abstract description 10
- 238000002604 ultrasonography Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 36
- 238000007781 pre-processing Methods 0.000 claims description 29
- 230000005540 biological transmission Effects 0.000 claims description 11
- 238000001914 filtration Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 description 8
- 238000000034 method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
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- 238000012360 testing method Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
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- Business, Economics & Management (AREA)
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- Health & Medical Sciences (AREA)
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- Oral & Maxillofacial Surgery (AREA)
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Abstract
The present invention relates to a kind of subway charge platform based on face recognition, comprising: height detection apparatus carries out real-time height detection to the current persons at subway station entrance, to obtain and export current persons' height using the high mechanism of ultrasound;Support rod adjustment equipment is arranged at subway station entrance, connect with the height detection apparatus, is that the current persons highly subtract preset height deviation and the height that obtains for receiving current persons' height, and by the height adjustment on the top of support rod;Current check-out console, is arranged at subway station entrance, by support rod and camera is examined to form, the inspection camera is arranged on the top of the support rod, for carrying out camera shooting movement to current persons, to obtain and export current persons' image.Through the invention, the passage speed of subway charging aperture is accelerated.
Description
Technical field
The present invention relates to face recognition field more particularly to a kind of subway charge platforms based on face recognition.
Background technique
Face's capture, which refers to, to be detected portrait in a frame of piece image or video flowing and separates portrait from background
Out, and automatically it is saved.Portrait tracking refers to using portrait capture technique, shoots when specified portrait in camera
Automatically it is tracked when being moved in range.
Summary of the invention
In order to solve the technical issues of subway charge lacks full-automatic treatment mechanism, the present invention provides one kind to be based on face
The subway charge platform of portion's identification, is arranged high-precision image procossing mechanism at subway station entrance, based on face in image
The direct carry out scene of the corresponding number of pattern is remitted money operation, and a large amount of manpower and material resources are saved, meanwhile, and by the top of support rod
Height adjustment is that current persons' height subtracts preset height deviation and the design of the support rod adjustment equipment of height that obtains, is improved
The automatization level of on-site test mechanism;It is particularly critical, also by left side noise amplitude to image to be processed and right
The comparison result of side noise amplitude determines directional filtering execute to the image to be processed, corresponding with the comparison result
Strategy.
According to an aspect of the present invention, a kind of subway charge platform based on face recognition is provided, the platform includes:
Height detection apparatus carries out height in real time to the current persons at subway station entrance using the high mechanism of ultrasound
Detection, to obtain and export current persons' height;Support rod adjustment equipment is arranged at subway station entrance, examines with the height
Measurement equipment connection is the current persons for receiving current persons' height, and by the height adjustment on the top of support rod
The height for highly subtracting preset height deviation and obtaining;Current check-out console, is arranged at subway station entrance, by support rod and inspection
Camera composition, the inspection camera are arranged on the top of the support rod, dynamic for carrying out camera shooting to current persons
Make, to obtain and export current persons' image;First pre-processing device is connect with the inspection camera, described for receiving
Current persons' image detects the noise profile situation in current persons' image, with determination current persons' figure
Noise of the noise in the maximum amplitude and current persons' image of left half figure of current persons' image as in is in institute
The maximum amplitude of right half figure of current persons' image is stated, and the noise in current persons' image is schemed in the current persons
As left half figure maximum amplitude and current persons' image in noise right half figure of current persons' image most substantially
Value is compared, and the noise in current persons' image is greater than in the maximum amplitude of left half figure of current persons' image
Noise in current persons' image issues left side distribution letter in the maximum amplitude of right half figure of current persons' image
Number;First pre-processing device is also used to the noise in current persons' image schemes in current persons' image left half
Maximum amplitude be less than or equal to the noise in current persons' image in the maximum amplitude of right half figure of current persons' image
When, issue right side distribution signal;Second pre-processing device is connect with first pre-processing device, for receive it is described
When the distribution signal of left side, beam search window, the orientation are determined based on the maximum amplitude of left half figure of current persons' image
Search window is square the left half window of pixel window, the side length of the square pixel point window and the current persons
The maximum amplitude of half figure of an image left side is directly proportional;Data acquisition equipment, respectively in advance with first pre-processing device and described second
Processing equipment connection, using each pixel of current persons' image as pixel to be processed, obtains pixel to be processed
Each search pixel point of point;Average value processing equipment is connect with the data acquisition equipment, for obtaining pixel to be processed
The mean value of each pixel value of each search pixel point is based on institute using the directional filtering pixel value as the pixel to be processed
The directional filtering pixel value for stating each pixel in current persons' image exports at the corresponding mean value of current persons' image
Manage image;Edge expansion equipment is arranged at subway station entrance, connect with the average value processing equipment, described equal for receiving
Value processing image, carries out the extension of target edge to each target adjacent with image edge in the average value processing image, with
Obtain the corresponding edge expanded images of the average value processing image;Shape sharpens equipment, connect with the edge expansion equipment, uses
In obtaining each of edge expanded images target shape, in the edge expanded images, the edge is extended
Each of image target shape is sharpened processing, sharp to obtain and export shape corresponding with the edge expanded images
Change image;In the edge expansion equipment, to each target adjacent with image edge in the average value processing image into
Row target edge extension include: using in the average value processing image with each adjacent target of image edge as it is corresponding not
Complete object, the shape based on the imperfect target in the average value processing image is to the imperfect target at the mean value
It manages the part except image and carries out predictive extension;Real-time equipment of remitting money sharpens equipment with the shape and connect, for receiving
Shape sharpening image is stated, face's pattern detection is carried out to the shape sharpening image, to obtain face in the shape sharpening image
Pattern corresponding number in portion's carries out operation of remitting money in real time to the corresponding bank's card number of the number based on the number.
More specifically, in the subway charge platform based on face recognition: the side of the edge expansion equipment output
It is greater than the area of the average value processing image along the area of expanded images.
More specifically, in the subway charge platform based on face recognition: the height detection apparatus includes erectting
The multiple ultrasonic transmission/reception units stacked placed, with the ultrasonic signal based on the multiple ultrasonic transmission/reception unit stacked
Transmitting-receiving is as a result, carry out real-time height detection to the current persons at subway station entrance.
More specifically, in the subway charge platform based on face recognition: it is described based on it is the multiple stack it is super
The ultrasonic signal of sound wave Transmit-Receive Unit is received and dispatched as a result, carrying out real-time height detection packet to the current persons at subway station entrance
It includes: the height that the ultrasonic transmission/reception unit that the time for receiving the ultrasonic signal of feedback is more than the extreme higher position of limitation is located at
As current persons' height.
More specifically, in the subway charge platform based on face recognition: in second pre-processing device, institute
Each search pixel point is stated in the beam search window of the pixel to be processed, the pixel to be processed is searched in its orientation
The center of the corresponding square pixel point window of rope window.
More specifically, in the subway charge platform based on face recognition: using the CPLD chip point of different model
Do not realize that first pre-processing device, second pre-processing device, the data acquisition equipment and the average value processing are set
It is standby.
More specifically, in the subway charge platform based on face recognition: first pre-processing device is also used to
When receiving the right side distribution signal, beam search window is determined based on the maximum amplitude of right half figure of current persons' image
Mouthful, the beam search window is square the right half window of pixel window, the side length of the square pixel point window with
The maximum amplitude of right half figure of current persons' image is directly proportional.
More specifically, in the subway charge platform based on face recognition: the preset height deviation is based on pre-
If the human body nose of quantity personnel's sample statistics is to the distance on human body top.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the inspection camera according to the subway charge platform based on face recognition shown in embodiment of the present invention
Shape assumption diagram.
Specific embodiment
The embodiment of the subway charge platform to of the invention based on face recognition carries out detailed below with reference to accompanying drawings
Explanation.
Face identification system has a wide range of applications: face recognition access management system, face recognition access control and attendance system,
Face recognition monitoring management, the prevention of face recognition computer security, the search of face recognition photo, the visiting registration of face recognition, face
Identify ATM machine intelligent video alarm system, face recognition prison intelligent alarm system .. face recognition RFID intelligence clearance system
Face recognition public security criminal pursues and captures an escaped prisoner intelligent alarm system etc..
The face identification system scope of application: park, factory, supermarket, cell square, conference centre, stadiums, school,
The significant points of the public activities and gathering place such as hospital, residential quarter, commercial street, the large-scale market of farm produce, hotel (hotel), meal
The monitoring video purposes of the indoor and outdoors ranges such as drink, public place of entertainment, hall's entrance of office building, elevator and other main thoroughfares.
In order to overcome above-mentioned deficiency, the present invention has built a kind of subway charge platform based on face recognition, can be effective
Solve corresponding technical problem.
Fig. 1 is the inspection camera according to the subway charge platform based on face recognition shown in embodiment of the present invention
Shape assumption diagram.Wherein, 1 is camera cradle head, and 2 be connector, and 3 is examine camera, and 4 be bolt arrangement, is used for and support rod
Top connection.
The subway charge platform based on face recognition shown according to an embodiment of the present invention includes:
Height detection apparatus carries out height in real time to the current persons at subway station entrance using the high mechanism of ultrasound
Detection, to obtain and export current persons' height;
Support rod adjustment equipment is arranged at subway station entrance, connect with the height detection apparatus, described for receiving
Current persons' height, and the height adjustment on the top of support rod is subtracted into preset height deviation for current persons' height and is obtained
The height obtained;
Current check-out console, is arranged at subway station entrance, by support rod and camera is examined to form, the inspection camera
It is arranged on the top of the support rod, for carrying out camera shooting movement to current persons, to obtain and export current persons' figure
Picture;
First pre-processing device connect with the inspection camera, for receiving current persons' image, works as to described
Noise profile situation in preceding personnel's image detects, and works as forefathers described with the noise in determination current persons' image
The maximum amplitude of left half figure of member's image and noise in current persons' image are in right half figure of current persons' image
Maximum amplitude, and maximum amplitude and institute by the noise in current persons' image in left half figure of current persons' image
The noise stated in current persons' image is compared in the maximum amplitude of right half figure of current persons' image, and described current
Noise in personnel's image is greater than making an uproar in current persons' image in the maximum amplitude of left half figure of current persons' image
Sound issues left side distribution signal in the maximum amplitude of right half figure of current persons' image;First pre-processing device is also
It is less than or equal to for the noise in current persons' image in the maximum amplitude of left half figure of current persons' image described
Noise in current persons' image issues right side distribution signal in the maximum amplitude of right half figure of current persons' image;
Second pre-processing device is connect with first pre-processing device, for receiving the left side distribution signal
When, determine that beam search window, the beam search window are positive based on the maximum amplitude of left half figure of current persons' image
The left half window of square pixels point window, the side length of the square pixel point window and left half figure of current persons' image
Maximum amplitude is directly proportional;
Data acquisition equipment is connect with first pre-processing device and second pre-processing device respectively, will be described
Each pixel of current persons' image obtains each search pixel point of pixel to be processed as pixel to be processed;
Average value processing equipment is connect with the data acquisition equipment, for obtaining each search picture of pixel to be processed
The mean value of each pixel value of vegetarian refreshments is based on the current persons using the directional filtering pixel value as the pixel to be processed
The directional filtering pixel value of each pixel in image exports the corresponding average value processing image of current persons' image;
Edge expansion equipment is arranged at subway station entrance, connect with the average value processing equipment, described equal for receiving
Value processing image, carries out the extension of target edge to each target adjacent with image edge in the average value processing image, with
Obtain the corresponding edge expanded images of the average value processing image;
Shape sharpens equipment, connect with the edge expansion equipment, each in the edge expanded images for obtaining
A target shape is sharpened each of edge expanded images target shape in the edge expanded images
Processing, to obtain and export shape sharpening image corresponding with the edge expanded images;It is right in the edge expansion equipment
In the average value processing image each target adjacent with image edge carry out the extension of target edge include: will be at the mean value
It manages in image with each adjacent target of image edge as corresponding imperfect target, based in the average value processing image
The shape of imperfect target predictive extension is carried out to part of the imperfect target except the average value processing image;
Real-time equipment of remitting money sharpens equipment with the shape and connect, for receiving the shape sharpening image, to described outer
Shape sharpening image carries out face's pattern detection, to obtain the corresponding number of face's pattern in the shape sharpening image, is based on institute
It states number and operation of remitting money in real time is carried out to the corresponding bank's card number of the number.
Then, the specific structure for continuing the subway charge platform to of the invention based on face recognition carries out further
It is bright.
In the subway charge platform based on face recognition: the edge expanded images of the edge expansion equipment output
Area be greater than the average value processing image area.
In the subway charge platform based on face recognition: the height detection apparatus includes the multiple of setting placement
The ultrasonic transmission/reception unit stacked, with based on the ultrasonic signal of the multiple ultrasonic transmission/reception unit stacked transmitting-receiving as a result,
Real-time height detection is carried out to the current persons at subway station entrance.
In the subway charge platform based on face recognition: described based on the multiple ultrasonic transmission/reception list stacked
The ultrasonic signal transmitting-receiving of member is as a result, carrying out real-time height detection to the current persons at subway station entrance includes: that will receive instead
Work as described in the height conduct that the time of the ultrasonic signal of feedback is located at more than the ultrasonic transmission/reception unit of the extreme higher position of limitation
Preceding personnel's height.
In the subway charge platform based on face recognition: described each to search in second pre-processing device
Rope pixel is in the beam search window of the pixel to be processed, and the pixel to be processed is in its beam search window pair
The center for the square pixel point window answered.
In the subway charge platform based on face recognition: described in being realized respectively using the CPLD chip of different model
First pre-processing device, second pre-processing device, the data acquisition equipment and the average value processing equipment.
In the subway charge platform based on face recognition: first pre-processing device is also used to receiving
When stating right side distribution signal, beam search window is determined based on the maximum amplitude of right half figure of current persons' image, it is described fixed
The right half window of pixel window is square to search window, the side length of the square pixel point window works as forefathers with described
The maximum amplitude of right half figure of member's image is directly proportional.
In the subway charge platform based on face recognition: the preset height deviation is based on preset quantity personnel
Distance of the human body nose of sample statistics to human body top.
In addition, CPLD has, flexible in programming, integrated level are high, design and develop that the period is short, the scope of application is wide, developing instrument is first
Into, design and manufacture cost, low, standardized product low to the hardware skill requirement of designer is without test, strong security, price masses
The features such as change, it can be achieved that fairly large circuit design, is therefore widely used in the prototype and production (one of product
As at 10,000 or less) among.Nearly all occasion using middle and small scale general digital integrated circuit can apply CPLD
Device.CPLD device has become the indispensable component part of electronic product, its design and application becomes Electronics Engineer must
A kind of standby technical ability.
CPLD is a kind of user according to respective the need and voluntarily digital integrated electronic circuit of constitutive logic function.Its Basic Design
Method is, with the methods of schematic diagram, hardware description language, to generate corresponding file destination by Integrated Development software platform, is led to
It crosses download cable (" in system " programming) code is transmitted in objective chip, realizes the digital display circuit of design.
It is excessive for subway charging link in the prior art using the subway charge platform of the invention based on face recognition
The technical issues of, by the way that high-precision image procossing mechanism is arranged at subway station entrance, based on face's pattern pair in image
The number answered directly carries out scene and remits money operation, saves a large amount of manpower and material resources, meanwhile, and by the height tune on the top of support rod
Section is that current persons' height subtracts preset height deviation and the design of the support rod adjustment equipment of height that obtains, improves scene
The automatization level of testing agency;It is particularly critical, also pass through the left side noise amplitude and right side noise to image to be processed
The comparison result of amplitude determines directional filtering strategy execute to the image to be processed, corresponding with the comparison result, from
And solves above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of subway charge platform based on face recognition, the platform include:
Height detection apparatus carries out real-time height detection to the current persons at subway station entrance using the high mechanism of ultrasound,
To obtain and export current persons' height;
Support rod adjustment equipment is arranged at subway station entrance, connect with the height detection apparatus, described current for receiving
Personnel's height, and the height adjustment on the top of support rod current persons' height is subtracted into preset height deviation and is obtained
Highly;
Current check-out console, is arranged at subway station entrance, by support rod and camera is examined to form, the inspection camera setting
On the top of the support rod, for carrying out camera shooting movement to current persons, to obtain and export current persons' image;
First pre-processing device is connect with the inspection camera, for receiving current persons' image, works as forefathers to described
Noise profile situation in member's image is detected, and is schemed with the noise in determination current persons' image in the current persons
The maximum of noise as the maximum amplitude of left half figure and in current persons' image in right half figure of current persons' image
Amplitude, and maximum amplitude by the noise in current persons' image in left half figure of current persons' image are worked as with described
Noise in preceding personnel's image is compared in the maximum amplitude of right half figure of current persons' image, and in the current persons
Noise in image is greater than the noise in current persons' image in the maximum amplitude of left half figure of current persons' image and exists
When the maximum amplitude of right half figure of current persons' image, left side distribution signal is issued;First pre-processing device is also used to
Noise in current persons' image is less than or equal to described current in the maximum amplitude of left half figure of current persons' image
Noise in personnel's image issues right side distribution signal in the maximum amplitude of right half figure of current persons' image;
Second pre-processing device is connect with first pre-processing device, for when receiving the left side distribution signal, base
Determine that beam search window, the beam search window are square picture in the maximum amplitude of left half figure of current persons' image
Left half figure of the left half window of vegetarian refreshments window, the side length of the square pixel point window and current persons' image most substantially
It is worth directly proportional;
Data acquisition equipment is connect with first pre-processing device and second pre-processing device respectively, will be described current
Each pixel of personnel's image obtains each search pixel point of pixel to be processed as pixel to be processed;
Average value processing equipment is connect with the data acquisition equipment, for obtaining each search pixel point of pixel to be processed
Each pixel value mean value using the directional filtering pixel value as the pixel to be processed, be based on current persons' image
In the directional filtering pixel value of each pixel export the corresponding average value processing image of current persons' image;
Edge expansion equipment is arranged at subway station entrance, connect with the average value processing equipment, for receiving at the mean value
Image is managed, the extension of target edge is carried out to each target adjacent with image edge in the average value processing image, to obtain
The corresponding edge expanded images of the average value processing image;
Shape sharpens equipment, connect with the edge expansion equipment, for obtaining each of edge expanded images mesh
Mark shape is sharpened processing to each of edge expanded images target shape in the edge expanded images,
To obtain and export shape sharpening image corresponding with the edge expanded images;In the edge expansion equipment, to described
It includes: by the average value processing figure that each target adjacent with image edge, which carries out the extension of target edge, in average value processing image
With each adjacent target of image edge as corresponding imperfect target as in, based in the average value processing image not
The shape of complete object carries out predictive extension to part of the imperfect target except the average value processing image;
Real-time equipment of remitting money sharpens equipment with the shape and connect, sharp to the shape for receiving the shape sharpening image
Change image and carry out face's pattern detection, to obtain the corresponding number of face's pattern in the shape sharpening image, is based on the volume
Number operation of remitting money in real time is carried out to the corresponding bank's card number of the number.
2. the subway charge platform based on face recognition as described in claim 1, it is characterised in that:
The area of the edge expanded images of the edge expansion equipment output is greater than the area of the average value processing image.
3. the subway charge platform based on face recognition as claimed in claim 2, it is characterised in that:
The height detection apparatus includes erectting the multiple ultrasonic transmission/reception units stacked placed, to be stacked based on the multiple
Ultrasonic transmission/reception unit ultrasonic signal transmitting-receiving as a result, at subway station entrance current persons carry out in real time height examine
It surveys.
4. the subway charge platform based on face recognition as claimed in claim 3, it is characterised in that:
The ultrasonic signal based on the multiple ultrasonic transmission/reception unit stacked is received and dispatched as a result, to subway station entrance
Current persons carry out real-time height detection include: by receive feedback ultrasonic signal time be more than limitation extreme higher position
The height that ultrasonic transmission/reception unit is located at is as current persons' height.
5. the subway charge platform based on face recognition as claimed in claim 4, it is characterised in that:
In second pre-processing device, beam search window of each search pixel point in the pixel to be processed
In, the pixel to be processed is in the center of the corresponding square pixel point window of its beam search window.
6. the subway charge platform based on face recognition as claimed in claim 5, it is characterised in that:
First pre-processing device, second pre-processing device, described is realized using the CPLD chip of different model respectively
Data acquisition equipment and the average value processing equipment.
7. the subway charge platform based on face recognition as claimed in claim 6, it is characterised in that:
First pre-processing device is also used to when receiving the right side distribution signal, right based on current persons' image
The maximum amplitude of half figure determines that beam search window, the beam search window are square the right half window of pixel window,
The side length of the square pixel point window is directly proportional to the right maximum amplitude of half figure of current persons' image.
8. the subway charge platform based on face recognition as claimed in claim 7, it is characterised in that:
The preset height deviation is distance of the human body nose based on preset quantity personnel's sample statistics to human body top.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109646777A (en) * | 2019-02-28 | 2019-04-19 | *** | Auxiliary instrument self-adaptive switch mechanism |
CN109949920A (en) * | 2019-03-27 | 2019-06-28 | 夏梅 | Therapeutic equipment parameter regulation platform |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103106693A (en) * | 2011-11-11 | 2013-05-15 | 白乾容 | Expressway automatic charging system |
CN104361638A (en) * | 2014-11-13 | 2015-02-18 | 安徽省新方尊铸造科技有限公司 | Highway tolling system based on facial recognition technology |
CN104757997A (en) * | 2015-03-13 | 2015-07-08 | 东莞捷荣技术股份有限公司 | Height measuring instrument |
CN107368869A (en) * | 2017-08-29 | 2017-11-21 | 无锡北斗星通信息科技有限公司 | Personnel characteristics' advanced treating platform |
US20180137388A1 (en) * | 2016-11-14 | 2018-05-17 | Samsung Electronics Co., Ltd. | Method and apparatus for analyzing facial image |
CN108091038A (en) * | 2017-11-27 | 2018-05-29 | 昆明创培知识产权服务有限公司 | A kind of bus face recognition is deducted fees device |
-
2018
- 2018-07-04 CN CN201810722403.5A patent/CN109033999B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103106693A (en) * | 2011-11-11 | 2013-05-15 | 白乾容 | Expressway automatic charging system |
CN104361638A (en) * | 2014-11-13 | 2015-02-18 | 安徽省新方尊铸造科技有限公司 | Highway tolling system based on facial recognition technology |
CN104757997A (en) * | 2015-03-13 | 2015-07-08 | 东莞捷荣技术股份有限公司 | Height measuring instrument |
US20180137388A1 (en) * | 2016-11-14 | 2018-05-17 | Samsung Electronics Co., Ltd. | Method and apparatus for analyzing facial image |
CN107368869A (en) * | 2017-08-29 | 2017-11-21 | 无锡北斗星通信息科技有限公司 | Personnel characteristics' advanced treating platform |
CN108091038A (en) * | 2017-11-27 | 2018-05-29 | 昆明创培知识产权服务有限公司 | A kind of bus face recognition is deducted fees device |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109646777A (en) * | 2019-02-28 | 2019-04-19 | *** | Auxiliary instrument self-adaptive switch mechanism |
CN109949920A (en) * | 2019-03-27 | 2019-06-28 | 夏梅 | Therapeutic equipment parameter regulation platform |
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Publication number | Publication date |
---|---|
CN109033999B (en) | 2019-05-24 |
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