CN109829370A - Face identification method and Related product - Google Patents
Face identification method and Related product Download PDFInfo
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- CN109829370A CN109829370A CN201811588248.9A CN201811588248A CN109829370A CN 109829370 A CN109829370 A CN 109829370A CN 201811588248 A CN201811588248 A CN 201811588248A CN 109829370 A CN109829370 A CN 109829370A
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Abstract
The embodiment of the present application provides a kind of face identification method and Related product, is applied to mobile unit, the mobile unit includes camera, which comprises passes through the target facial image that the camera obtains passenger；The target facial image is sent to server, is matched the target facial image with the registered face template of reservation passenger by the server, and matching result is sent to the mobile unit；When the matching result is the target facial image and registered face template matching success, confirm the passenger for reservation passenger；When the matching result is the target facial image and the registered face template matching fails, confirming the passenger not is the reservation passenger.Using the embodiment of the present application, face recognition accuracy rate can be improved, further, it is possible to which passenger will not get on the wrong bus.
Description
Technical field
This application involves technical field of face recognition, and in particular to a kind of face identification method and Related product.
Background technique
Currently, recognition of face (image identification) technology is applied to various fields.Wherein, recognition of face
Technology may be used on safety-security area, for example, may be used on the safety-security area of net about vehicle, it is pre- in advance that net about vehicle usually requires user
About, still, sometimes vehicle is excessive, and passenger may get on the wrong bus, and therefore, reduces net about vehicle and rides efficiency.
Summary of the invention
The embodiment of the present application provides a kind of face identification method and Related product, can guarantee that net about passenger will not multiply mistake
Vehicle improves efficiency by bus.
The embodiment of the present application first aspect provides a kind of face identification method, is applied to mobile unit, comprising:
The target facial image of passenger is obtained by the camera；
The target facial image is sent to server, is multiplied the target facial image with reservation by the server
The registered face template of visitor is matched, and matching result is sent to the mobile unit；
When the matching result is the target facial image and registered face template matching success, described in confirmation
Passenger is reservation passenger；
When the matching result is the target facial image and the registered face template matching fails, described in confirmation
Passenger is not the reservation passenger.
The embodiment of the present application second aspect provides a kind of face identification method, is applied to server, comprising:
Receive the target facial image sent by mobile unit；
The target facial image is matched with the registered face template of reservation passenger；
Matching result is sent to the mobile unit, wherein the matching result be the target facial image with
When registered face template matching success, confirm the passenger for reservation passenger；It is the target person in the matching result
When face image and the registered face template matching fail, confirming the passenger not is the reservation passenger.
The embodiment of the present application third aspect provides a kind of mobile unit, comprising:
Acquiring unit, for obtaining the target facial image of passenger by the camera；
Transmission unit, for the target facial image to be sent to server, by the server by the target person
Face image is matched with the registered face template of reservation passenger, and matching result is sent to the mobile unit；
Confirmation unit is the target facial image and registered face template matching success in the matching result
When, confirm the passenger for reservation passenger；
The confirmation unit is also used in the matching result be the target facial image and the registered face template
When it fails to match, confirming the passenger not is the reservation passenger.
The embodiment of the present application fourth aspect provides a kind of server, comprising:
Receiving unit, for receiving the target facial image sent by mobile unit；
Matching unit, for matching the target facial image with the registered face template of reservation passenger；
Transmission unit, for matching result to be sent to the mobile unit, wherein the matching result be the mesh
When marking facial image and registered face template matching success, confirm the passenger for reservation passenger；In the matching result
When failing for the target facial image and the registered face template matching, confirming the passenger not is the reservation passenger.
5th aspect, the embodiment of the present application provide a kind of system of face identification, comprising: at least one is implemented such as the application
Mobile unit described in the example third aspect and at least one server as described in the embodiment of the present application fourth aspect.
6th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein described computer-readable
Storage medium is for storing computer program, wherein the computer program executes computer such as the embodiment of the present application the
The instruction of step some or all of described in one side or second aspect.
7th aspect, the embodiment of the present application provide a kind of computer program product, wherein the computer program product
Non-transient computer readable storage medium including storing computer program, the computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application first aspect or second aspect.The computer program produces
Product can be a software installation packet.
Implement the embodiment of the present application, has the following beneficial effects:
As can be seen that passing through face identification method described in above-mentioned the embodiment of the present application and Related product, mobile unit
The target facial image of passenger can be obtained by the camera；The target facial image is sent to server, by described
Server matches the target facial image with the registered face template of reservation passenger, and matching result is sent to institute
State mobile unit；When the matching result is the target facial image and registered face template matching success, confirmation
The passenger is reservation passenger；It is that the target facial image and the registered face template matching fail in the matching result
When, confirming the passenger not is the reservation passenger.It so, it is possible to guarantee that net about passenger will not get on the wrong bus, improve and imitate by bus
Rate.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the present application, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of flow diagram of face identification method embodiment provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of the embodiment of the method for recognition of face provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of face identification method embodiment provided by the embodiments of the present application；
Fig. 4 is a kind of flow diagram of the embodiment of the method for recognition of face provided by the present application；
Fig. 5 is a kind of structural schematic diagram of the embodiment of mobile unit provided by the embodiments of the present application；
Fig. 6 is a kind of structural schematic diagram of the embodiment of server provided by the embodiments of the present application；
Fig. 7 is a kind of structural schematic diagram of the embodiment of mobile unit provided by the embodiments of the present application；
Fig. 8 is a kind of structural schematic diagram of the embodiment of server provided by the embodiments of the present application；
Fig. 9 is a kind of structural schematic diagram of face identification system provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen
Please in embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall in the protection scope of this application.
The description and claims of this application and term " first ", " second ", " third " and " in the attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.It is identical that each position in the description shows that the phrase might not be each meant
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Mobile unit described in the embodiment of the present application may include smart phone (such as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), automobile data recorder, tablet computer, video matrix, monitor supervision platform, palm PC, notebook electricity
Brain, mobile internet device (MID, Mobile Internet Devices) or wearable device etc., above-mentioned is only citing, and
It is non exhaustive, including but not limited to above-mentioned apparatus.
The embodiment of the present application can be applied to net about vehicle and (call a taxi) operation management platform, and net about vehicle (is called a taxi) operation management platform
For system is studied and judged in collection front end awareness apparatus, middle-end aware communications equipment, rear end perception, rear end is slapped mark APP etc. Intellisense and set
The standby net about vehicle in one (is called a taxi) operation management system, it is not limited here, wherein headend equipment part include it is following at least
One module: face acquisition module, electronic identity acquisition module, virtual identity acquisition module, license plate acquisition module, sound collection
Module, network module, locating module, clock module, data transmission blocks, command reception module, operating system module, storage mould
Block and core algorithm module etc. are not limited thereto；Middle-end aware communications agency is to realize that front end data collected connect
It receives and handles；It is to realize the user terminal deployed to ensure effective monitoring and control of illegal activities in real time that mark APP is slapped in rear end；It is one to all ends that rear end awareness apparatus, which studies and judges system,
The big data platform that the data of end acquisition are summarized, and studied and judged.
Referring to Fig. 1, being a kind of flow diagram of the embodiment of face identification method provided by the embodiments of the present application.This
Face identification method described in embodiment is applied to mobile unit, comprising the following steps:
101, the target facial image of passenger is obtained by the camera.
Wherein, passenger can refer specifically to take the passenger of net about vehicle, can for reserve the successfully passenger of net about vehicle or other people,
Facial image may include following at least one: eyebrow, eyes, nose, mouth, ear, hair etc., it is not limited here, mesh
Mark facial image can be the facial image that camera captures passenger, can also capture the target body figure of the passenger
Picture, target body image can be the human body image that camera captures passenger, and specifically, mobile unit can pass through
Camera carries out multi-angle for the face of passenger and repeatedly shoots, and can acquire an at least target facial image.
Optionally, above-mentioned steps 101 obtain the target facial image of passenger by the camera, it may include following step
It is rapid:
11, the first position of the passenger is obtained；
12, the second position of the mobile unit is obtained；
13, at a distance from the first position is between the second position be less than preset threshold when, continuous acquisition multiple
Facial image；
14, image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality
Evaluation of estimate；
15, the corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as the target face
Image.
Wherein, preset threshold can be set by the user himself or system default, and mobile unit can be by camera according to multiplying
Visitor with its distance between the different focal length of adjustment, the focal length of camera is smaller, and visual range is closer, and field angle is bigger, images
The focal length of head is bigger, and visual range is remoter, and field angle is smaller, and mobile unit can obtain the distance between itself and passenger, according to this
Relationship between distance and preset threshold, determines whether camera acquires facial image, specifically, when passenger first position with
When the distance between second position of mobile unit is less than preset threshold, multiple target body images of passenger can be obtained, for example,
Settable preset threshold is 0.3 meter, if passenger at a distance from camera less than 0.3 meter, the focal length of camera can be increased, to multiplying
The face of visitor carries out multi-angle and repeatedly shoots, and obtains multiple facial images.
Optionally, in above-mentioned steps 14, can implement as follows:
Facial image each in multiple collected facial images is carried out using at least one image quality evaluation index
Image quality evaluation obtains multiple images quality evaluation value.
Wherein, image quality evaluation index may include, but are not limited to: average gray, mean square deviation, entropy, edge conservation degree,
Signal-to-noise ratio etc..The image quality evaluation values that may be defined as are bigger, then picture quality is better.
It should be noted that there is certain limitation when due to evaluating using single evaluation index picture quality
Property, therefore, multiple images quality evaluation index, which can be used, evaluates picture quality, certainly, evaluates picture quality
When, not image quality evaluation index is The more the better, because image quality evaluation index is more, the meter of image quality assessment process
Calculation complexity is higher, and also not necessarily image quality evaluation effect is better, therefore, in the situation more demanding to image quality evaluation
Under, 2~10 image quality evaluation indexs can be used, picture quality is evaluated.Specifically, image quality evaluation is chosen to refer to
Target number and which index, depending on specific implementation situation.Certainly, it also obtains and is commented in conjunction with specifically scene selection picture quality
Valence index carries out the image quality index that image quality evaluation selection is carried out under image quality evaluation and bright ring border under dark situation
It can be different.
Optionally, in the case where not high to image quality evaluation required precision, an image quality evaluation index can be used
It is evaluated, for example, when using entropy as image quality evaluation index, it is believed that entropy is bigger, then illustrates that quality of human face image is better, phase
Instead, entropy is smaller, then illustrates that quality of human face image is poorer.
Optionally, in the higher situation of image quality evaluation required precision, multiple images quality evaluation can be used
Index evaluates image to be evaluated, carries out image quality evaluation to image to be evaluated in multiple images quality evaluation index
When, the weight of each image quality evaluation index, can be obtained multiple images quality in settable multiple images quality evaluation index
Final image quality evaluation values can be obtained according to multiple image quality evaluation values and its corresponding weight in evaluation of estimate, for example,
Three image quality evaluation indexs are respectively as follows: A index, B index and C index, and the weight of A is a1, and the weight of B is a2, the weight of C
For a3, when carrying out image quality evaluation to a certain image using A, B and C, the corresponding image quality evaluation values of A are b1, and B is corresponding
Image quality evaluation values are b2, and the corresponding image quality evaluation values of C are b3, then, last image quality evaluation values=a1b1+
a2b2+a3b3.Under normal conditions, image quality evaluation values are bigger, illustrate that quality of human face image is better.
Optionally, in above-mentioned steps 15, according to above-mentioned steps it is found that each facial image in multiple facial images into
After row image quality evaluation, multiple images quality evaluation value is obtained, a picture appraisal value, figure can be obtained in each facial image
When image quality amount evaluation of estimate is bigger, illustrate that quality of human face image is better, image is more clear, therefore, image quality evaluation values may be selected
Maximum facial image, i.e., picture quality best face image is as target facial image.
102, the target facial image is sent to server, by the server by the target facial image and in advance
The registered face template of about passenger matches, and matching result is sent to the mobile unit.
Wherein, reservation passenger can refer to reserve the passenger of the successfully net about vehicle, and the registered face of passenger can be prestored in server
Template, the face that registered face template can upload for passenger when net about vehicle (calls a taxi) operation management platform registration net about vehicle account
Image or the facial image of shooting, mobile unit can establish connection with server, if successful connection, mobile unit can be to service
Device sends the target facial image of passenger, is carried out the registered face template of target facial image and default passenger by server
Match, obtains matching result, and matching result is sent to mobile unit.
103, when the matching result is the target facial image and registered face template matching success, confirmation
The passenger is reservation passenger.
Wherein, according to above-mentioned steps 102, mobile unit and server establish connection, and after successful connection, mobile unit can be to
Server sends the target facial image of passenger, determines whether the passenger is that reservation multiplies according to the target facial image of the passenger
Visitor, reservation passenger can refer to reserve successfully the passenger of the net about vehicle, and specifically, server can carry out identity for reservation passenger
Verifying can extract the registered face template of reservation passenger from database, can multiply the reservation after authentication success
The registered face template of visitor is matched with target facial image, if successful match, then it is assumed that the target facial image is corresponding
Passenger is to be subscribed to the passenger of the net about vehicle, as reservation passenger.
104, when the matching result is the target facial image and the registered face template matching fails, confirmation
The passenger is not the reservation passenger.
Wherein, mobile unit can carry out the registered face template of the passenger prestored in the target facial image and server
Matching, if it fails to match, then it is assumed that the corresponding passenger of the target facial image is not reservation passenger, i.e., is not reservation passenger.
As can be seen that face identification method described in the embodiment of the present application, is applied to mobile unit, can be taken the photograph by described
As head obtains the target facial image of passenger；The target facial image is sent to server, it will be described by the server
Target facial image is matched with the registered face template of reservation passenger, and matching result is sent to the mobile unit；
When the matching result is the target facial image and registered face template matching success, confirm that the passenger is pre-
About passenger；When the matching result is the target facial image and the registered face template matching fails, described in confirmation
Passenger is not the reservation passenger.It so, it is possible to guarantee that net about passenger will not get on the wrong bus, improve efficiency by bus.
Referring to Fig. 2, being a kind of flow diagram of the embodiment of face identification method provided by the embodiments of the present application.This
Face identification method described in embodiment is applied to server, comprising the following steps:
201, the target facial image sent by mobile unit is received.
Wherein, server can receive the target sent by mobile unit after mobile unit can be successfully established connection with it
Facial image, the target facial image can refer to the more of the passenger taken on the collected net of the camera about vehicle by mobile unit
Facial image is opened, facial image may include following at least one: eyebrow, eyes, nose, mouth, ear, hair etc., herein
Without limitation.
202, the target facial image is matched with the registered face template of reservation passenger.
Wherein, reservation passenger can refer to reserve the passenger of the successfully net about vehicle, and the registered face of passenger can be prestored in server
Template, the face that registered face template can upload for passenger when net about vehicle (calls a taxi) operation management platform registration net about vehicle account
Image or the facial image of shooting, for server after the target facial image for receiving mobile unit transmission, server can
Authentication is carried out for reservation passenger, after authentication success, the note of reservation passenger is extracted from database
Volume face template, and the registered face template of reservation passenger is matched with target facial image, if successful match,
Think the corresponding passenger of the target facial image for reservation passenger.
Optionally, above-mentioned steps 202, it is described to match the target facial image with registered face template, it can wrap
Include following steps:
21, image quality evaluation is carried out to the target facial image, obtains objective image quality evaluation of estimate；
22, according to the mapping relations between preset image quality evaluation values and matching threshold, the target image is determined
Quality evaluation is worth corresponding object matching threshold value；
23, contours extract is carried out to the target facial image, obtains the first circumference；
24, feature point extraction is carried out to the target facial image, obtains fisrt feature point set；
25, first circumference is matched with the second circumference of the registered face template, obtains
One matching value；
26, the fisrt feature point set is matched with the second feature point set of the registered face template, obtains
Two matching values；
27, object matching value is determined according to first matching value, second matching value；
28, the object matching value be greater than the object matching threshold value when, confirm the target facial image with it is described
The success of registered face template matching.
Wherein, the registered face template of reservation passenger can be prestored in server, in face recognition process, success or not is very
Quality of human face image is depended in big degree, therefore, in the embodiment of the present application, then it is contemplated that Dynamic Matching threshold value, even matter
It measures, then matching threshold then can be improved, and of poor quality, then matching threshold can reduce, due under noctovision environment, the figure of shooting
As may not picture quality it is good, therefore, can suitably adjust matching threshold.It can store preset image quality evaluation in server
Mapping relations between value and matching threshold determine the corresponding mesh of objective image quality evaluation of estimate according to the mapping relations in turn
Matching threshold is marked, on this basis, server carries out contours extract to target facial image, the first circumference is obtained, to mesh
It marks facial image and carries out feature point extraction, obtain fisrt feature point set, by the first circumference and the second of registered face template
Circumference is matched, and the first matching value is obtained, by the second feature point set of fisrt feature point set and registered face template into
Row matching, obtains the second matching value, in turn, object matching value is determined according to the first matching value, the second matching value, for example, service
The mapping relations between environmental parameter and weighted value pair can be stored in advance in device, obtain corresponding first weight of the first matching value
Coefficient and corresponding second weight coefficient of the second matching value, object matching value=first the first weight coefficient+the of matching value *
Two the second weight coefficients of matching value *, finally, confirming target face figure when object matching value is greater than the object matching threshold value
As otherwise confirming recognition of face failure with registered face template matching success, in this way, dynamic regulation face matching process,
Be conducive to promote recognition of face efficiency for specific environment.
In addition, the algorithm of contours extract can be following at least one: Hough transformation, canny operator etc. are not done herein
Limit, the algorithm of feature point extraction can be following at least one: Harris angle point, scale invariant feature extract transformation (scale
Invariant feature transform, SIFT) etc., it is not limited here.
Optionally, above-mentioned steps 21 carry out image quality evaluation to the target facial image, obtain objective image quality
Evaluation of estimate can be implemented as follows:
Image quality evaluation is carried out to target facial image using at least one image quality evaluation index, obtains target figure
Image quality amount evaluation of estimate.
Wherein, image quality evaluation index may include, but are not limited to: average gray, mean square deviation, entropy, edge conservation degree,
Signal-to-noise ratio etc..The image quality evaluation values that may be defined as are bigger, then picture quality is better.
It should be noted that there is certain limitation when due to evaluating using single evaluation index picture quality
Property, therefore, multiple images quality evaluation index, which can be used, evaluates picture quality, certainly, evaluates picture quality
When, not image quality evaluation index is The more the better, because image quality evaluation index is more, the meter of image quality assessment process
Calculation complexity is higher, and also not necessarily image quality evaluation effect is better, therefore, in the situation more demanding to image quality evaluation
Under, 2~10 image quality evaluation indexs can be used, picture quality is evaluated.Specifically, image quality evaluation is chosen to refer to
Target number and which index, depending on specific implementation situation.Certainly, it also obtains and is commented in conjunction with specifically scene selection picture quality
Valence index carries out the image quality index that image quality evaluation selection is carried out under image quality evaluation and bright ring border under dark situation
It can be different.
Optionally, in the case where not high to image quality evaluation required precision, an image quality evaluation index can be used
It is evaluated, for example, carrying out image quality evaluation values to image to be processed with entropy, it is believed that entropy is bigger, then illustrates picture quality
It is better, on the contrary, entropy is smaller, then illustrate that picture quality is poorer.
Optionally, in the higher situation of image quality evaluation required precision, multiple images quality evaluation can be used
Index evaluates image to be evaluated, carries out image quality evaluation to image to be evaluated in multiple images quality evaluation index
When, the weight of each image quality evaluation index, can be obtained multiple images matter in settable multiple image quality evaluation index
Evaluation of estimate is measured, final image quality evaluation values, example can be obtained according to multiple image quality evaluation values and its corresponding weight
Such as, three image quality evaluation indexs are respectively as follows: A index, B index and C index, and the weight of A is a1, and the weight of B is a2, C's
Weight is a3, using A, B and C to a certain image carry out image quality evaluation when, the corresponding image quality evaluation values of A be b1, B pairs
The image quality evaluation values answered are b2, and the corresponding image quality evaluation values of C are b3, then, last image quality evaluation values=
a1b1+a2b2+a3b3.Under normal conditions, image quality evaluation values are bigger, illustrate that picture quality is better.
203, matching result is sent to the mobile unit, wherein the matching result be the target face figure
When as with registered face template matching success, confirm the passenger for reservation passenger；It is the mesh in the matching result
When marking facial image and registered face template matching failure, confirming the passenger not is the reservation passenger.
Wherein, server can incite somebody to action after matching target facial image with the registered face template of reservation passenger
Matching result is sent to mobile unit, which can be used to confirm whether passenger is reservation passenger, if not reservation passenger,
It is the passenger for reserving the successfully net about vehicle that mobile unit, which can prompt the passenger not,.
Optionally, after above-mentioned steps 203, when the passenger is the reservation passenger, may also include the steps of:
31, Xiang Suoshu mobile unit sends control instruction, and the control instruction indicates that the mobile unit obtains driver
The facial image of member；
32, the facial image of the driver is received；
33, the facial image of the driver is matched with the default face template of default registration driver；
34, in the facial image of the driver and the default face template successful match, multiply to the reservation
The safe prompt information of riding of visitor's push；
35, when it fails to match for the facial image of the driver and the default face template, multiply to the reservation
The dangerous prompt information of riding of visitor's push.
Wherein, reservation registrations driver refers to (calls a taxi) driver of operation management platform successful registration in net about vehicle, and net is about
Vehicle (call a taxi) operation management platform can for collection front end awareness apparatus, middle-end aware communications equipment, rear end perception study and judge system, rear end
The equal net about vehicle in one of palm mark APP etc. (is called a taxi) operation management system, and it is not limited here, server is confirming that the passenger is
Reserve passenger after, may further confirm that the identity of driver, can confirm the driver whether be the net about vehicle reservation
Driver is registered, to confirm that the personal safety of reservation passenger can if the driver is not the reservation registrations driver of the net about vehicle
Dangerous prompt information of riding is pushed to reservation passenger.
Optionally, in above-mentioned steps 33, by the facial image of driver and note can be preset by the method for feature extraction
The default face template of volume driver matches, and specific matching process can are as follows: carries out feature to the facial image of driver
It extracts, obtains multiple fisrt feature subsets；Feature extraction is carried out to default face template, obtains multiple second feature subsets；It will
Multiple fisrt feature subsets are matched with multiple second feature subsets, obtain matching value；Obtain pre-stored preset matching
Threshold value, if the matching value is more than or equal to the preset matching threshold value, then it is assumed that the driver is default registration driver.
Wherein, features described above subset can be made of isolated point, continuous curve or continuous region, not limited herein
Fixed, the method for feature extraction may include following at least one: LBP (Local Binary Patterns, local binary patterns) is special
Levy extraction algorithm, HOG (Histogram of Oriented Gradient, histograms of oriented gradients) feature extraction algorithm, LoG
(Laplacian of Gaussian, second order Laplce-Gauss) feature extraction algorithm etc., it is not limited here, default
It can be by user's sets itself or system default with threshold value, wherein can be by the quantity of multiple fisrt feature subsets divided by its correspondence
Multiple second feature subsets total quantity, obtained percentage number is then matching value, and by the matching value and preset matching threshold
Value is compared, for example, obtained matching value is 60%, then it fails to match, if obtained if preset matching threshold value is 80%
It is 85% with value, then successful match.
As can be seen that being applied to server by face identification method described in the embodiment of the present application, server can be connect
The target facial image sent by mobile unit is received, the registered face template of the target facial image and reservation passenger are carried out
Matching, matching result is sent to the mobile unit, wherein the matching result be the target facial image with it is described
When the success of registered face template matching, confirm the passenger for reservation passenger；It is the target face figure in the matching result
When as failing with the registered face template matching, confirming the passenger not is the reservation passenger, so, it is possible to improve face
Recognition accuracy, further, it is possible to guarantee that driver can ride safely with passenger.
Referring to Fig. 3, being a kind of flow diagram of the embodiment of face identification method provided by the embodiments of the present application.This
Face identification method described in embodiment is applied to mobile unit, comprising the following steps:
301, the first position of passenger is obtained.
302, the second position of the mobile unit is obtained.
303, at a distance from the first position is between the second position be less than preset threshold when, continuous acquisition multiple
Facial image.
304, image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality
Evaluation of estimate.
305, the corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as target face figure
Picture.
306, the target facial image is sent to server, by the server by the target facial image and in advance
The registered face template of about passenger matches, and matching result is sent to the mobile unit.
307, when the matching result is the target facial image and registered face template matching success, confirmation
The passenger is reservation passenger.
308, when the matching result is the target facial image and the registered face template matching fails, confirmation
The passenger is not the reservation passenger.
Wherein, the specific descriptions of above-mentioned steps 301-308 are referred to accordingly retouching for face identification method described in Fig. 1
It states, details are not described herein.
As can be seen that mobile unit described in acquisition by multiplying by face identification method described in the embodiment of the present application
Visitor first position, obtain the second position of the mobile unit, between the first position and the second position away from
When from being less than preset threshold, multiple facial images of continuous acquisition carry out figure to each facial image in multiple described facial images
As quality evaluation, multiple images quality evaluation value is obtained, it is corresponding that maximum value is chosen from described multiple images quality evaluation value
Facial image is sent to server as the target facial image, by the target facial image, by the server by institute
It states target facial image and is matched with the registered face template for reserving passenger, and matching result is sent to described vehicle-mounted set
It is standby, when the matching result is the target facial image and registered face template matching success, confirm the passenger
To reserve passenger, when the matching result is the target facial image and the registered face template matching fails, confirmation
The passenger is not the reservation passenger, so, it is possible to guarantee that net about passenger will not get on the wrong bus, improves efficiency by bus.
Referring to Fig. 4, being a kind of flow diagram of the embodiment of the method for recognition of face provided by the present application.This implementation
Face identification method described in example, comprising the following steps:
401, the target facial image is sent to server by mobile unit.
402, server receives the target facial image sent by mobile unit, and the target facial image is multiplied with reservation
The registered face template of visitor is matched.
403, matching result is sent to the mobile unit by server, wherein the matching result be the target
When facial image and registered face template matching success, confirm the passenger for reservation passenger；It is in the matching result
When the target facial image and the registered face template matching fail, confirming the passenger not is the reservation passenger.
404, when the passenger is the reservation passenger, server sends control instruction to the mobile unit, described
Control instruction indicates that the mobile unit obtains the facial image of driver.
405, mobile unit obtains the facial image of driver, and is sent to the server.
406, server receives the facial image of the driver, by the facial image of the driver and default note
The default face template of volume driver matches；It is matched into the facial image of the driver with the default face template
When function, safety prompt information by bus is pushed to the reservation passenger；Facial image and the default people in the driver
When face template matching fails, dangerous prompt information of riding is pushed to the reservation passenger.
Wherein, the specific descriptions of above-mentioned steps 401-406 are referred to Fig. 1 or Fig. 2 or the recognition of face side
The corresponding description of method, details are not described herein.
As can be seen that by face identification method described in the embodiment of the present application, mobile unit is by the target face
Image is sent to server, and server receives the target facial image sent by mobile unit, by the target facial image and
The registered face template of reservation passenger matches, and matching result is sent to the mobile unit by server, wherein described
When matching result is the target facial image and registered face template matching success, confirm that the passenger multiplies for reservation
Visitor；When the matching result is the target facial image and the registered face template matching fails, the passenger is confirmed
It is not the reservation passenger, when the passenger is the reservation passenger, server sends control instruction to the mobile unit,
The control instruction indicates that the mobile unit obtains the facial image of driver, and mobile unit obtains the face of driver
Image, and it is sent to the server, server receives the facial image of the driver, by the face of the driver
Image is matched with the default face template of default registration driver；Facial image and the default people in the driver
When the success of face template matching, safety prompt information by bus is pushed to the reservation passenger；In the facial image of the driver
When it fails to match with the default face template, dangerous prompt information of riding is pushed to the reservation passenger, in this way, by vehicle-mounted
Interaction between equipment and server, can be improved face recognition accuracy rate, further, it is possible to guarantee that driver can be safe with passenger
By bus.
Referring to Fig. 5, being a kind of structural schematic diagram of the embodiment of mobile unit provided by the embodiments of the present application, this is vehicle-mounted
Equipment includes: acquiring unit 501, transmission unit 502 and confirmation unit 503, specific as follows:
501 yuan of acquiring unit, for obtaining the target facial image of passenger by the camera；
Transmission unit 502, for the target facial image to be sent to server, by the server by the target
Facial image is matched with the registered face template of reservation passenger, and matching result is sent to the mobile unit；
Confirmation unit 503, the matching result be the target facial image and the registered face template matching at
When function, confirm the passenger for reservation passenger；
The confirmation unit 503 is also used in the matching result be the target facial image and the registered face
When template matching fails, confirming the passenger not is the reservation passenger.
Optionally, in terms of the facial image for obtaining passenger by the camera, the acquiring unit 501 is specific
For:
Obtain the first position of the passenger；
Obtain the second position of the mobile unit；
When being less than preset threshold at a distance from the first position is between the second position, multiple faces of continuous acquisition
Image；
Image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality evaluation
Value；
The corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as the target face figure
Picture.
As can be seen that can obtain passenger's by the camera by mobile unit described in the embodiment of the present application
Target facial image；The target facial image is sent to server, by the server by the target facial image with
The registered face template of reservation passenger matches, and matching result is sent to the mobile unit；In the matching result
When for the target facial image with registered face template matching success, confirm the passenger for reservation passenger；Described
When matching result is the target facial image and registered face template matching failure, it is described pre- for confirming the passenger not
About passenger.It so, it is possible to improve face recognition accuracy rate, further, it is possible to guarantee that driver can ride safely with passenger.
Optionally, as shown in fig. 6, Fig. 6 is a kind of structural representation of the embodiment of server provided by the embodiments of the present application
Figure, the server can include: receiving unit 601, matching unit 602 and transmission unit 603, specific as follows:
Receiving unit 601, for receiving the target facial image sent by mobile unit；
Matching unit 602, for matching the target facial image with the registered face template of reservation passenger；
Transmission unit 603, for matching result to be sent to the mobile unit, wherein in the matching result be institute
When stating target facial image and registered face template matching success, confirm the passenger for reservation passenger；In the matching
When as a result failing for the target facial image and the registered face template matching, confirming the passenger not is that the reservation multiplies
Visitor.
Optionally, it is described the target facial image is matched with registered face template in terms of, the matching is single
Member 602 is specifically used for:
Image quality evaluation is carried out to the target facial image, obtains objective image quality evaluation of estimate；
According to the mapping relations between preset image quality evaluation values and matching threshold, the objective image quality is determined
The corresponding object matching threshold value of evaluation of estimate；
Contours extract is carried out to the target facial image, obtains the first circumference；
Feature point extraction is carried out to the target facial image, obtains fisrt feature point set；
First circumference is matched with the second circumference of the registered face template, obtains first
With value；
The fisrt feature point set is matched with the second feature point set of the registered face template, obtains second
With value；
Object matching value is determined according to first matching value, second matching value；
When the object matching value is greater than the object matching threshold value, the target facial image and the registration are confirmed
Face template successful match.
Optionally, when the passenger is the reservation passenger, the receiving unit 601 is also used to receive the driving
The facial image of personnel；
The matching unit 602 is also used to the default people of the facial image of the driver and default registration driver
Face template is matched；In the facial image of the driver and when the default face template successful match, to described pre-
About passenger pushes safety prompt information by bus；In the facial image of the driver, it fails to match with the default face template
When, dangerous prompt information of riding is pushed to the reservation passenger；
The transmission unit 603, is also used to send control instruction to the mobile unit, described in control instruction instruction
The facial image of mobile unit acquisition driver；
As can be seen that server described in technical solution provided in this embodiment, can receive and sent by mobile unit
Target facial image, by the target facial image with reservation passenger registered face template match, by matching result
It is sent to the mobile unit, wherein in the matching result be the target facial image and the registered face template
When with success, confirm the passenger for reservation passenger；It is the target facial image and the registrant in the matching result
When face template matching fails, confirming the passenger not is the reservation passenger, so, it is possible to improve face recognition accuracy rate, and
And it can guarantee that driver can ride safely with passenger.
Referring to Fig. 7, being a kind of structural schematic diagram of the embodiment of mobile unit provided by the embodiments of the present application.This implementation
Mobile unit described in example, comprising: at least one input equipment 1000；At least one output equipment 2000；At least one
Processor 3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment 2000, processor 3000 and deposit
Reservoir 4000 is connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely camera, touch panel, common PC, liquid crystal display, touch screen, touching
Control button etc..
Above-mentioned memory 4000 can be high speed RAM memory, can also be nonvolatile storage (non-volatile
), such as magnetic disk storage memory.Above-mentioned memory 4000 is used to store a set of program code, above-mentioned input equipment 1000, defeated
Equipment 2000 and processor 3000 are used to call the program code stored in memory 4000 out, perform the following operations:
Above-mentioned processor 3000, is used for:
The target facial image of passenger is obtained by the camera；
The target facial image is sent to server, is multiplied the target facial image with reservation by the server
The registered face template of visitor is matched, and matching result is sent to the mobile unit；
When the matching result is the target facial image and registered face template matching success, described in confirmation
Passenger is reservation passenger；
When the matching result is the target facial image and the registered face template matching fails, described in confirmation
Passenger is not the reservation passenger.
In a possible example, in terms of the facial image that passenger is obtained by the camera, above-mentioned processing
Device 3000 is specifically used for:
Obtain the first position of the passenger；
Obtain the second position of the mobile unit；
When being less than preset threshold at a distance from the first position is between the second position, multiple faces of continuous acquisition
Image；
Image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality evaluation
Value；
The corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as the target face figure
Picture.
As can be seen that mobile unit described in the embodiment of the present application, can obtain the target of passenger by the camera
Facial image；The target facial image is sent to server, by the target facial image and is reserved by the server
The registered face template of passenger matches, and matching result is sent to the mobile unit；It is institute in the matching result
When stating target facial image and registered face template matching success, confirm the passenger for reservation passenger；In the matching
When as a result failing for the target facial image and the registered face template matching, confirming the passenger not is that the reservation multiplies
Visitor.It so, it is possible to improve face recognition accuracy rate, further, it is possible to guarantee that driver can ride safely with passenger.
Referring to Fig. 8, Fig. 8 is a kind of structural schematic diagram of the embodiment of server provided by the embodiments of the present application.This reality
Applying server described in example includes: at least one input equipment 1000；At least one output equipment 2000；At at least one
Manage device 3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output equipment 2000, processor 3000 and storage
Device 4000 is connected by bus 5000.
Wherein, above-mentioned input equipment 1000 can be touch panel, common PC, liquid crystal display, touch screen, push button etc..
Above-mentioned memory 4000 can be high speed RAM memory, can also be non-labile memory, such as disk storage
Device.Above-mentioned memory 4000 is used to store a set of program code, above-mentioned input equipment 1000, output equipment 2000 and processor
3000 are used to call the program code stored in memory 4000, perform the following operations:
Above-mentioned processor 3000, is used for:
Receive the target facial image sent by mobile unit；
The target facial image is matched with the registered face template of reservation passenger；
Matching result is sent to the mobile unit, wherein the matching result be the target facial image with
When registered face template matching success, confirm the passenger for reservation passenger；It is the target person in the matching result
When face image and the registered face template matching fail, confirming the passenger not is the reservation passenger.
In a possible example, the target facial image and registered face template are subjected to match party described
Face, above-mentioned processor 3000 are specifically used for:
Image quality evaluation is carried out to the target facial image, obtains objective image quality evaluation of estimate；
According to the mapping relations between preset image quality evaluation values and matching threshold, the objective image quality is determined
The corresponding object matching threshold value of evaluation of estimate；
Contours extract is carried out to the target facial image, obtains the first circumference；
Feature point extraction is carried out to the target facial image, obtains fisrt feature point set；
First circumference is matched with the second circumference of the registered face template, obtains first
With value；
The fisrt feature point set is matched with the second feature point set of the registered face template, obtains second
With value；
Object matching value is determined according to first matching value, second matching value；
When the object matching value is greater than the object matching threshold value, the target facial image and the registration are confirmed
Face template successful match.
In a possible example, when the passenger is the reservation passenger, above-mentioned processor 3000 is specifically used for:
Control instruction is sent to the mobile unit, the control instruction indicates that the mobile unit obtains driver's
Facial image；
Receive the facial image of the driver；
The facial image of the driver is matched with the default face template of default registration driver；
In facial image and the default face template successful match of the driver, pushed away to the reservation passenger
Send safety prompt information by bus；
When it fails to match for the facial image of the driver and the default face template, pushed away to the reservation passenger
Send dangerous prompt information of riding.
As can be seen that can receive the target face sent by mobile unit by server described in the embodiment of the present application
The target facial image is matched with the registered face template of reservation passenger, matching result is sent to described by image
Mobile unit, wherein when the matching result is the target facial image and registered face template matching success, really
The passenger is recognized for reservation passenger；It is that the target facial image and the registered face template matching are lost in the matching result
When losing, confirming the passenger not is the reservation passenger, so, it is possible to improve face recognition accuracy rate, further, it is possible to guarantee to take charge of
Machine can ride safely with passenger.
Please referring to Fig. 9 Fig. 9 is a kind of structural schematic diagram of face identification system provided by the embodiments of the present application.The present embodiment
Described in system include at least: at least one mobile unit 901, mobile unit described in this system can such as Fig. 5 or
Any mobile unit described in person Fig. 7；At least one server 902, server described in this system can such as Fig. 6 or
Any server described in person Fig. 8, face identification method described in the implementable Fig. 1 to Fig. 4 of the system.
The embodiment of the present application also provides a kind of computer storage medium, wherein the computer storage medium can be stored with journey
Sequence, the program include some or all of any face identification method recorded in above method embodiment step when executing
Suddenly.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of any face identification method recorded in method embodiment step.
Although the application is described in conjunction with each embodiment herein, however, implementing the application claimed
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Claim may be implemented in single processor or other units
In several functions enumerating.Mutually different has been recited in mutually different dependent certain measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that embodiments herein can provide as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the application
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the application, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part can also use other distribution forms, such as pass through the wired or wireless telecommunication system of Internet or other.
The application be referring to the embodiment of the present application method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that each process that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer program instructions
To general purpose computer, special purpose computer, Embedded Processor or other programmable License Plate equipment processor to generate one
A machine so that by instructions that computer or processors of other programmable License Plate equipment execute generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable License Plate equipment with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions can also be loaded into computer or other programmable License Plate equipment, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although the application is described in conjunction with specific features and embodiment, it is clear that, do not departing from this Shen
In the case where spirit and scope please, it can be carry out various modifications and is combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration for the application that attached claim is defined, and be considered as covered within the scope of the application any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art the application can be carried out various modification and variations without
It is detached from spirit and scope.If in this way, these modifications and variations of the application belong to the claim of this application and its
Within the scope of equivalent technologies, then the application is also intended to include these modifications and variations.
Claims (10)
1. a kind of face identification method, which is characterized in that be applied to mobile unit, the mobile unit includes camera, described
Method includes:
The target facial image of passenger is obtained by the camera；
The target facial image is sent to server, by the target facial image and reserves passenger's by the server
Registered face template is matched, and matching result is sent to the mobile unit；
When the matching result is the target facial image and registered face template matching success, the passenger is confirmed
To reserve passenger；
When the matching result is the target facial image and the registered face template matching fails, the passenger is confirmed
It is not the reservation passenger.
2. the method according to claim 1, wherein the face figure for obtaining passenger by the camera
Picture, comprising:
Obtain the first position of the passenger；
Obtain the second position of the mobile unit；
When being less than preset threshold at a distance from the first position is between the second position, multiple face figures of continuous acquisition
Picture；
Image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality evaluation value；
The corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as the target facial image.
3. a kind of face identification method, which is characterized in that be applied to server, which comprises
Receive the target facial image sent by mobile unit；
The target facial image is matched with the registered face template of reservation passenger；
Matching result is sent to the mobile unit, wherein the matching result be the target facial image with it is described
When the success of registered face template matching, confirm the passenger for reservation passenger；It is the target face figure in the matching result
When as failing with the registered face template matching, confirming the passenger not is the reservation passenger.
4. according to the method described in claim 3, it is characterized in that, described by the target facial image and registered face template
It is matched, comprising:
Image quality evaluation is carried out to the target facial image, obtains objective image quality evaluation of estimate；
According to the mapping relations between preset image quality evaluation values and matching threshold, the objective image quality evaluation is determined
It is worth corresponding object matching threshold value；
Contours extract is carried out to the target facial image, obtains the first circumference；
Feature point extraction is carried out to the target facial image, obtains fisrt feature point set；
First circumference is matched with the second circumference of the registered face template, obtains the first matching
Value；
The fisrt feature point set is matched with the second feature point set of the registered face template, obtains the second matching
Value；
Object matching value is determined according to first matching value, second matching value；
When the object matching value is greater than the object matching threshold value, the target facial image and the registered face are confirmed
Template matching success.
5. the method according to claim 3 or 4, which is characterized in that when the passenger is the reservation passenger, the side
Method further include:
Control instruction is sent to the mobile unit, the control instruction indicates that the mobile unit obtains the face of driver
Image；
Receive the facial image of the driver；
The facial image of the driver is matched with the default face template of default registration driver；
In facial image and the default face template successful match of the driver, pushes and pacify to the reservation passenger
Full prompt information by bus；
When it fails to match for the facial image of the driver and the default face template, pushes and endanger to the reservation passenger
Dangerous prompt information of riding.
6. a kind of mobile unit characterized by comprising
Acquiring unit, for obtaining the target facial image of passenger by the camera；
Transmission unit, for the target facial image to be sent to server, by the server by the target face figure
As matching with the registered face template of reservation passenger, and matching result is sent to the mobile unit；
Confirmation unit, when the matching result is the target facial image and registered face template matching success, really
The passenger is recognized for reservation passenger；It and in the matching result is the target facial image and the registered face template
When with failure, confirming the passenger not is the reservation passenger.
7. mobile unit according to claim 6, which is characterized in that in the people for obtaining passenger by the camera
In terms of face image, the acquiring unit is specifically used for:
Obtain the first position of the passenger；
Obtain the second position of the mobile unit；
When being less than preset threshold at a distance from the first position is between the second position, multiple face figures of continuous acquisition
Picture；
Image quality evaluation is carried out to facial image each in multiple described facial images, obtains multiple images quality evaluation value；
The corresponding facial image of maximum value is chosen from described multiple images quality evaluation value as the target facial image.
8. a kind of server characterized by comprising
Receiving unit, for receiving the target facial image sent by mobile unit；
Matching unit, for matching the target facial image with the registered face template of reservation passenger；
Transmission unit, for matching result to be sent to the mobile unit, wherein the matching result be the target person
When face image and registered face template matching success, confirm the passenger for reservation passenger；It is institute in the matching result
When stating target facial image and registered face template matching failure, confirming the passenger not is the reservation passenger.
9. server according to claim 8, which is characterized in that when the passenger is the reservation passenger,
The receiving unit is also used to receive the facial image of the driver；
The transmission unit, is also used to send control instruction to the mobile unit, and control instruction instruction is described vehicle-mounted to be set
The standby facial image for obtaining driver；
The matching unit, be also used to by the facial image of the driver and the default face template of default registration driver into
Row matching；In facial image and the default face template successful match of the driver, pushed away to the reservation passenger
Send safety prompt information by bus；When it fails to match for the facial image of the driver and the default face template, to institute
It states reservation passenger and pushes dangerous prompt information of riding.
10. a kind of face identification system characterized by comprising such as the described in any item mobile units of claim 6 to 7 and
Such as the described in any item servers of claim 8 to 9.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222789A (en) * | 2019-06-14 | 2019-09-10 | 腾讯科技（深圳）有限公司 | Image-recognizing method and storage medium |
| CN110400483A (en) * | 2019-08-07 | 2019-11-01 | 合肥智圣新创信息技术有限公司 | A kind of colleges and universities' school bus management method and device based on recognition of face and GIS platform |
| CN110599639A (en) * | 2019-08-13 | 2019-12-20 | 深圳市天彦通信股份有限公司 | Identity verification method and related product |
| CN110765502A (en) * | 2019-10-30 | 2020-02-07 | Oppo广东移动通信有限公司 | Information processing method and related product |
| CN111160175A (en) * | 2019-12-19 | 2020-05-15 | 中科寒武纪科技股份有限公司 | Intelligent pedestrian violation behavior management method and related product |
| CN111649749A (en) * | 2020-06-24 | 2020-09-11 | 万翼科技有限公司 | Navigation method based on BIM (building information modeling), electronic equipment and related product |
| CN111832409A (en) * | 2020-06-08 | 2020-10-27 | 深圳市金溢科技股份有限公司 | Face matching method of network car booking, cloud platform and network car booking ETC device |
| CN113411496A (en) * | 2021-06-07 | 2021-09-17 | 恒大新能源汽车投资控股集团有限公司 | Control method and device for vehicle-mounted camera and electronic equipment |
| CN113507593A (en) * | 2021-06-24 | 2021-10-15 | 中汽创智科技有限公司 | Monitoring method, device, system and terminal for vehicle cabin |
| CN113516263A (en) * | 2021-04-21 | 2021-10-19 | 广州通巴达电气科技有限公司 | Vehicle scheduling method and device based on station image recognition |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107016369A (en) * | 2017-04-07 | 2017-08-04 | 合肥凯越信息科技有限公司 | A kind of vehicle-mounted dynamic passenger data comparison system and method based on system of real name |
| CN108345868A (en) * | 2018-03-09 | 2018-07-31 | 广东万峯信息科技有限公司 | Public transport based on face recognition technology is pursued and captured an escaped prisoner system and its control method |
| CN108764179A (en) * | 2018-05-31 | 2018-11-06 | 惠州市德赛西威汽车电子股份有限公司 | A kind of shared automobile unlocking method and system based on face recognition technology |
| CN108877036A (en) * | 2018-07-24 | 2018-11-23 | 安徽富煌科技股份有限公司 | A kind of public transport charge system with high-accuracy face identification functions |
| CN108985212A (en) * | 2018-07-06 | 2018-12-11 | 深圳市科脉技术股份有限公司 | Face identification method and device |
-
2018
- 2018-12-25 CN CN201811588248.9A patent/CN109829370A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107016369A (en) * | 2017-04-07 | 2017-08-04 | 合肥凯越信息科技有限公司 | A kind of vehicle-mounted dynamic passenger data comparison system and method based on system of real name |
| CN108345868A (en) * | 2018-03-09 | 2018-07-31 | 广东万峯信息科技有限公司 | Public transport based on face recognition technology is pursued and captured an escaped prisoner system and its control method |
| CN108764179A (en) * | 2018-05-31 | 2018-11-06 | 惠州市德赛西威汽车电子股份有限公司 | A kind of shared automobile unlocking method and system based on face recognition technology |
| CN108985212A (en) * | 2018-07-06 | 2018-12-11 | 深圳市科脉技术股份有限公司 | Face identification method and device |
| CN108877036A (en) * | 2018-07-24 | 2018-11-23 | 安徽富煌科技股份有限公司 | A kind of public transport charge system with high-accuracy face identification functions |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222789A (en) * | 2019-06-14 | 2019-09-10 | 腾讯科技（深圳）有限公司 | Image-recognizing method and storage medium |
| CN110222789B (en) * | 2019-06-14 | 2023-05-26 | 腾讯科技（深圳）有限公司 | Image recognition method and storage medium |
| CN110400483A (en) * | 2019-08-07 | 2019-11-01 | 合肥智圣新创信息技术有限公司 | A kind of colleges and universities' school bus management method and device based on recognition of face and GIS platform |
| CN110599639A (en) * | 2019-08-13 | 2019-12-20 | 深圳市天彦通信股份有限公司 | Identity verification method and related product |
| CN110765502A (en) * | 2019-10-30 | 2020-02-07 | Oppo广东移动通信有限公司 | Information processing method and related product |
| CN111160175A (en) * | 2019-12-19 | 2020-05-15 | 中科寒武纪科技股份有限公司 | Intelligent pedestrian violation behavior management method and related product |
| CN111832409A (en) * | 2020-06-08 | 2020-10-27 | 深圳市金溢科技股份有限公司 | Face matching method of network car booking, cloud platform and network car booking ETC device |
| CN111832409B (en) * | 2020-06-08 | 2024-04-30 | 深圳市金溢科技股份有限公司 | Face matching method of network vehicle, cloud platform and network vehicle ETC equipment |
| CN111649749A (en) * | 2020-06-24 | 2020-09-11 | 万翼科技有限公司 | Navigation method based on BIM (building information modeling), electronic equipment and related product |
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Application publication date: 20190531 |