CN114613024A - Method, device and system for pushing face recognition picture based on action data - Google Patents
Method, device and system for pushing face recognition picture based on action data Download PDFInfo
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- CN114613024A CN114613024A CN202210288258.0A CN202210288258A CN114613024A CN 114613024 A CN114613024 A CN 114613024A CN 202210288258 A CN202210288258 A CN 202210288258A CN 114613024 A CN114613024 A CN 114613024A
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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
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
- G07B15/04—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems comprising devices to free a barrier, turnstile, or the like
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/257—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F7/00—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus
- G07F7/08—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means
- G07F7/10—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means together with a coded signal, e.g. in the form of personal identification information, like personal identification number [PIN] or biometric data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a method, a device and a system for pushing a face recognition picture based on motion data, which can at least partially solve the existing problem of effectively screening real transaction categories of users. The method comprises the following steps: s1, acquiring a gate channel video and action data D, and S2, extracting a video image containing face features from the gate channel video to serve as a face image; s3, judging whether entity card swiping action information exists for the user to swipe the card by adopting the entity card according to the action data D, if so, turning to S4, and if not, turning to S6; s4, executing face image sending judgment analysis, wherein the face image sending judgment analysis is as follows: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, turning to S5, and if not, turning to S6; s5, executing the action of discarding the face image; and S6, executing the action of sending the human face image.
Description
Technical Field
The invention relates to a transaction category screening technology, in particular to a method, a device and a medium for pushing a face recognition picture based on action data.
Background
In subway taking, the ticket card of the subway vehicle continuously evolves and successively experiences entity ticket cards in various carrier forms, such as: paper tickets, radio frequency tickets, mobile code tickets (two-dimensional codes) or mobile induction tickets (NFC).
In recent years, with the rise of image recognition technology and the breakthrough of technology, an entity-free ticketing control system combining a camera and a face comparison authentication platform is evolved, which is commonly called a face-swiping ticketing control system (entity-free ticketing card).
In the traditional entity ticket business control system, the local gate senses the information of an entity ticket card, the local ticket card is directly verified locally, and then the local gate is directly controlled to act and an actuator to release. The newly-added face-brushing entity-free ticketing control system is characterized in that a camera collects a face image, the face image is transmitted back to a face comparison authentication platform, then the face comparison authentication platform performs comparison verification, after the verification is successful, a face verification is released and passes through a label to a gate, and then the gate controls a local gate action actuator to act for releasing.
The traditional entity ticket business control system and the face brushing entity-free ticket business control system are in two parallel relations, and when the system is used in parallel, the following technical problems can be caused:
(1) the two cannot be correlated. For example, when a user generally purchases a radio frequency ticket, the radio frequency ticket only has an ID of the ticket and does not have user information, and when the user purchases a face-brushing ticket, the user generally registers in a face comparison authentication platform through a mobile phone terminal, and the face-brushing ticket contains the user information, so that the association between the entity ticketing control system and the face-brushing entity-free ticketing control system cannot be completed.
(2) A repeat transaction debit is generated. In order to increase the passing efficiency, a general face-brushing entity-free ticketing control system is in an awakening state, and as long as a user appears in the shooting range of a camera, a face image is automatically uploaded for verification, so that the gate machine is controlled to be opened and released. Finally, the opening information is recorded and is regarded as a transaction, and then the subsequent settlement system settles the account according to the opening information. Some users also have physical tickets while registering to swipe face tickets. When a user wants to pay by adopting an entity ticket card, the user generally executes the action of swiping the entity ticket card, meanwhile, the face verification is also in an awakening state, and the 2 sets of parallel control systems simultaneously perform verification, so that the technical problems of repeated control of opening a gate, repeated transaction recording and repeated settlement can occur.
In order to solve the above problems, in the prior art, some technologies adopt a method of mutual exclusion of delay + transaction records to process, and 1 transaction record in the transaction records is selected by a method of mutual exclusion of delay + transaction records, so that repeated transactions are avoided. For example: CN 113470199A, a mutual exclusion method, a device and a system for ticket card transaction and a gate control method, wherein the method is arranged in a ticket platform. The face transaction information and the entity ticket transaction information are obtained simultaneously, and the 2 pieces of information are mutually exclusive based on preset effective time. Although the method can avoid repeated transactions, the influence of the preset effective time is very large, the problem of low passing efficiency is easily caused when the preset effective time is long, and the 2-time transaction information of the same user cannot be well screened when the preset effective time is short. Meanwhile, the method does not fundamentally screen out the transaction types required by the user, and the user experience is poor. Meanwhile, the method still needs the face verification server to be in a verification state all the time, and the load of the face verification server is large. Under the condition of large stream of people, network data congestion is easily caused, and a passing accident of verification is easily caused.
Disclosure of Invention
The invention aims to solve the problems that the selection of the real transaction category of a user cannot be effectively screened and the operation burden of a face comparison verification platform cannot be effectively reduced, and provides a method, a device and a system for pushing a face recognition picture based on action data.
The invention is realized by the following technical scheme:
one aspect of the present invention provides a method for pushing a face recognition picture based on motion data, comprising the following steps:
s1, acquiring a gate channel video and action data D,
s2, extracting a video image containing face features from the gate channel video to serve as a face image;
s3, judging whether entity card swiping action information exists for the user to swipe the card by adopting the entity card according to the action data D, if so, turning to S4, and if not, turning to S6;
s4, executing face image sending judgment analysis, wherein the face image sending judgment analysis is as follows: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, turning to S5, and if not, turning to S6; wherein, the time T2 is the generation time of the 'card swiping action information', and the time T1 is the generation time of the 'face image';
s5, executing the action of discarding the face image;
and S6, executing the action of sending the face image.
Optionally, the "gate channel video" is obtained by a first camera, and the first camera is a camera whose field of view covers the area in front of the gate.
Optionally, "the action data D" is obtained by a second camera, the second camera is a camera whose field range covers a card swiping panel area of an entity card of the gate and can obtain a depth image, and the "action data D" is the depth image.
Optionally, the process of determining whether there is "entity card swiping motion information" of the user performing the card swiping motion by using the entity card according to the "motion data D" is as follows:
in the depth image, marking a fixed position of the card swiping panel area of the entity card in the depth space, wherein the fixed position comprises a depth range and an image range;
if the motion trajectory of the hand feature is overlapped with the depth range and the image range of the card swiping panel area of the physical card or the hand feature falls into the depth range and the image range of the card swiping panel area of the physical card in the depth image, generating card swiping action information and corresponding time T2, and judging whether the card swiping action information of the physical card exists or not, wherein the result is that: "is".
Optionally, the "motion data D" is obtained by an infrared sensor, the infrared sensor is a sensor whose infrared sensing range covers an area of a card swiping panel of an entity card of the gate, and can obtain a "hand infrared sensing signal" generated by a hand entering the area of the card swiping panel of the entity card of the gate, and the "motion data D" is the "hand infrared sensing signal".
Optionally, the process of determining whether there is "entity card swiping motion information" of the user performing the card swiping motion by using the entity card according to the "motion data D" is as follows:
if the hand infrared sensing signal exists, generating card swiping action information and corresponding time T2, and judging whether the card swiping action information of the entity card exists or not, wherein the result is as follows: "is".
Alternatively to this, the first and second parts may,
the 'face image' is used as a 'face image to be checked' for the face card swiping pass of a user;
the action of sending the face image is executed by: sending the current 'face image' as 'a face image to be checked' to a face comparison authentication platform which issues 'a face verification passing label' after verification passes;
the 'face verification passing label' is used as a certificate for opening a gate and generating a face card swiping transaction record.
Optionally, the method for pushing the face recognition picture based on the motion data is applied to face recognition PAD.
Another aspect of the present invention provides an apparatus for pushing a face recognition picture based on motion data,
the method comprises the following steps:
one or more processors;
the storage unit is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors can realize any method for pushing the face recognition picture based on the motion data.
Another aspect of the present invention provides an apparatus for pushing a face recognition picture based on motion data,
the method comprises the following steps:
a first camera for generating a 'gate channel video';
a second camera or infrared sensor that generates "motion data D";
one or more processors;
the storage unit is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors can realize any method for pushing the face recognition picture based on the motion data.
The invention provides a system for pushing face recognition pictures based on action data, which comprises a face PAD and face comparison authentication platform positioned at a face recognition communication interval, a gate positioned at an entity card communication interval and a ticket service platform; it is characterized in that the preparation method is characterized in that,
further comprising: the system comprises a first device for generating a 'gate channel video', and a second device for generating 'action data D'; the first device and the second device are configured on a PAD or a gate of a face;
the face PAD is also provided with: a controller for the passage of the face image,
the human face image passing controller:
for acquiring a 'gate channel video' and 'action data D';
the method is used for extracting a video image containing face features from a gate channel video as a face image;
the card swiping action information of the entity card is used for judging whether the card swiping action behavior of the entity card adopted by the user exists according to the action data D, if so, the face image sending judgment analysis is executed, and if not, the face image sending action is executed;
the face image sending judgment analysis is used for executing the face image sending judgment analysis, and the face image sending judgment analysis comprises the following steps: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, executing the action of discarding the 'face image'; if not, executing the action of sending the face image; time T2 is the generation time of "card swiping motion information", and T1 is the generation time of "face image";
a "face verification pass tag" for obtaining a response "face image";
face contrast authentication platform:
the system comprises a gate, a face verification pass label and a face verification pass label, wherein the face verification pass label is used for performing face comparison authentication on a current face image serving as a face image to be detected, and issuing a certificate serving as a gate opening certificate and a face card swiping transaction record to the gate after the authentication is passed;
a gate machine:
the system is used for opening a gate according to the 'face verification passing label' and generating a face card swiping transaction record;
a ticket service platform:
the system is used for carrying out expense settlement according to the face card swiping transaction record.
The invention has the beneficial effects that:
the face card swiping is a passive acquisition card swiping verification mode by utilizing a video technology. The problem of direct interaction with the user cannot be effectively solved. And therefore cannot be performed according to the actual needs of the user. Therefore, it is easy to cause the face-brushing transaction to occur while the user conducts the transaction using the physical card, and further, the repeated transaction is easy to occur. In order to solve the problem, the prior art generally adopts a binding precondition to screen transaction data, screen out different types of repeated transactions within a similar time range of the same user, and preferably select entity card transactions for settlement. Screening the transaction data under the condition of no binding so as to solve the problem of preventing repeated transactions. To summarize, the prior art is directed to a duplication prevention design for screening transaction data. The above designs all need a face camera and a face comparison authentication platform to work, and a face passing verification label is generated. The equipment can perform a large amount of useless work, namely, the face camera and the face comparison authentication platform still perform a large amount of feature extraction, comparison and check work and the like, so that the load of the face camera and the face comparison authentication platform is large.
In terms of user behaviors, if a user needs face card swiping transaction, the user generally only needs face exposure action, and no special card swiping action is generated on the hand, and if the user needs entity card transaction, the user generally needs card swiping action (hand card swiping action) and cannot avoid face exposure action, so that in order to avoid repetition of face transaction and card swiping transaction, the invention analyzes from the action angle and proposes to make a decision on whether to send a face image by action data (hand card swiping action). The method, the device and the system provided by the invention are essentially used for judging whether the face image is sent or not, and the method relies on the result of analyzing the action data to determine whether the face image is sent or not, so that the face comparison and authentication platform is controlled not to acquire the required face image data, the face comparison and authentication platform can not generate face verification passing tags, and face swiping transaction records can not be generated in a gate machine and a transaction system (ticketing platform), so that the follow-up screening of repeated transactions based on the transaction records is not required. The invention cuts off the repeated data from the angle of the data source, avoids repeated transaction from the angle of the origin, and has the effect of preventing repeated transaction reaching higher absolute degree. Meanwhile, the invention determines that repeated face images do not enter the subsequent procedure. Therefore, the calculation process and the storage space of the subsequent system are saved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
Fig. 1 is a schematic structural diagram of a prior art for simultaneously performing face card swiping and entity card swiping.
Fig. 2 is a schematic structural diagram of the present invention for simultaneously performing face card swiping and entity card swiping.
Fig. 3 is a flowchart of controlling the push of the face image based on the motion data according to the present invention.
Fig. 4 is a schematic view of a first structure of the gate combined with the human face PAD according to the present invention.
FIG. 5 is a schematic diagram of a second structure of the gate combined with the human face PAD according to the present invention.
FIG. 6 is a schematic diagram of a third structure of the gate combined with the human face PAD according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention/invention better understood, the present invention/invention is further described in detail below with reference to the accompanying drawings and the detailed description.
Example 1
As shown in figures 2 and 3 of the drawings,
in the embodiment, a card swiping action discrimination technology is used, and discriminated card swiping actions are used as a basis, so that whether a face image is pushed backwards or not is determined, a repeated data source is controlled from the perspective of a data source and does not enter a subsequent program, face swiping transaction records repeated with card swiping records are not generated indirectly, the effect of stopping repeated fee deduction is achieved, and the purposes of simplifying the calculation amount and the logic program of a subsequent face comparison authentication platform and a transaction system are achieved.
A method for pushing a face recognition picture based on motion data comprises the following steps:
s1, acquiring a gate channel video and action data D,
s2, extracting a video image containing face features from the gate channel video to serve as a face image;
s3, judging whether entity card swiping action information exists for the user to swipe the card by adopting the entity card according to the action data D, if so, turning to S4, and if not, turning to S6;
s4, executing face image sending judgment analysis, wherein the face image sending judgment analysis is as follows: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, turning to S5, and if not, turning to S6; wherein, the time T2 is the generation time of the 'card swiping action information', and the time T1 is the generation time of the 'face image';
s5, executing the action of discarding the face image;
and S6, executing the action of sending the human face image.
As shown in fig. 1, the face card swiping is a passive acquisition card swiping verification method using a video technology. The problem of direct interaction with the user cannot be effectively solved. And therefore needs to be performed in compliance with the real needs of the user. Therefore, it is easy to cause the face-brushing transaction to occur while the user conducts the transaction using the physical card, and further, the repeated transaction is easy to occur. In order to solve the problem, the prior art generally adopts a binding precondition to screen transaction data, screen out different types of repeated transactions within a similar time range of the same user, and preferably select entity card transactions for settlement. And screening the transaction data under the condition of no binding so as to solve the problem of preventing repeated transactions. To summarize, the prior art is directed to a duplication prevention design for screening transaction data. The above design needs the face camera and the face comparison authentication platform to work, and the generated face passes the verification label. The equipment can perform a large amount of useless work, namely, the face camera and the face comparison authentication platform still perform a large amount of feature extraction, comparison and check work and the like, so that the load of the face camera and the face comparison authentication platform is large.
As shown in fig. 2 and 3, in terms of user behavior, if a user needs a face card swiping transaction, the user generally only needs a face exposure action, and the hand does not generate a special card swiping action, and if the user needs a physical card transaction, the user generally needs a card swiping action (a hand card swiping action) and cannot avoid the face exposure action, so that in order to avoid the repetition of the face transaction and the card swiping transaction, the invention proposes to determine whether to send a face image by using action data (a hand card swiping action) from the action angle analysis. The method, the device and the system provided by the invention are essentially used for judging whether the face image is sent or not, and the method relies on the result of analyzing the action data to determine whether the face image is sent or not, so that the face comparison and authentication platform is controlled not to acquire the required face image data, the face comparison and authentication platform can not generate 'face verification passes through a label', a face card swiping transaction record can not be generated in a transaction system, and therefore, repeated transaction screening can not be carried out subsequently. The invention cuts off the repeated data from the angle of the data source, avoids repeated transaction from the angle of the origin, and has the effect of preventing repeated transaction reaching higher absolute degree. Meanwhile, the invention determines that repeated face images do not enter the subsequent procedure. Therefore, the calculation process and the storage space of the subsequent system are saved.
Optionally, the "gate channel video" is obtained by a first camera, and the first camera is a camera whose field of view covers the area in front of the gate.
Optionally, the "motion data D" is obtained by a second camera, the second camera is a camera whose field of view covers a card swiping panel area of an entity card of the gate and can obtain a depth image, and the "motion data D" is the depth image.
Optionally, the process of determining whether there is "entity card swiping motion information" of the user performing the card swiping motion by using the entity card according to the "motion data D" is as follows:
in the depth image, marking a fixed position of the card swiping panel area of the entity card in the depth space, wherein the fixed position comprises a depth range and an image range;
if there is a motion trajectory of the hand feature in the depth image that overlaps the depth range and image range of the card swipe panel area of the physical card, or if the hand feature falls within the depth range and image range (hand motion image) of the card swipe panel area of the physical card, then the "card swipe motion information" and the corresponding time T2 are generated, and the result of determining whether or not there is "card swipe motion information" of the physical card is: "is".
Optionally, the "motion data D" is obtained by an infrared sensor, the infrared sensor is a sensor whose infrared sensing range covers an area of a card swiping panel of an entity card of the gate, and can obtain a "hand infrared sensing signal" generated by a hand entering the area of the card swiping panel of the entity card of the gate, and the "motion data D" is the "hand infrared sensing signal".
Optionally, the process of determining whether there is "entity card swiping motion information" of the user performing the card swiping motion by using the entity card according to the "motion data D" is as follows:
if the hand infrared sensing signal exists, generating card swiping action information and corresponding time T2, and judging whether the card swiping action information of the entity card exists or not, wherein the result is as follows: "is".
Optionally:
the 'face image' is used as a 'face image to be checked' for the face card swiping pass of a user;
the action of sending the face image is executed by: sending the current 'face image' as 'a face image to be checked' to a face comparison authentication platform which issues 'a face verification passing label' after the verification is passed;
the 'face verification passing label' is used as a certificate for opening a gate and generating a face card swiping transaction record.
Optionally: the method for pushing the face recognition picture based on the motion data is applied to face recognition PAD.
The action data D in the invention is not data generated by successful card swiping when the entity card reading head in the gate swipes the card, but is data obtained by the action of the user who swipes the card by using external action observation equipment. Even if the user does not successfully swipe the card, the generation of the behavior action can also block the sending of the face image, and at the moment, the user can act again to realize the successful card swiping.
In the field, the human face card-swiping transaction record and the entity card-swiping transaction record are data which are generated after a gate is opened, and the transaction data are generally screened in order to avoid repeated transactions in the prior art. And is therefore essentially a logical operation after a gate opening. In the invention, the added action observation equipment is utilized, and the prepositive face image is screened and discarded after the prepositive analysis user has specific card swiping action, so that the backward propagation of the face image is avoided. Repeated data can be cut off from the source effectively, and repeated transactions are avoided absolutely. The user also does not need to bind the entity card and the face. The invention can be understood as an analysis of behaviours, based on causal relationships between behaviours, to determine a reasonable control logic.
Example 2
As shown in fig. 2 and 3, another aspect of the present invention provides an apparatus for pushing a face recognition picture based on motion data,
the method comprises the following steps:
one or more processors;
the storage unit is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors can realize any method for pushing the face recognition picture based on the motion data.
The device may be: PAD, a gate, an upper computer, a remote industrial personal computer, a server and the like.
Example 3
As shown in fig. 2, 3, 4-6, another aspect of the present invention provides an apparatus for pushing a face recognition picture based on motion data,
the method comprises the following steps:
a first camera for generating a 'gate channel video';
a second camera or infrared sensor that generates "motion data D";
one or more processors;
the storage unit is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors can realize any method for pushing the face recognition picture based on the motion data.
The device is a gate, the gate is improved in hardware, a second camera or an infrared sensor for generating motion data D is additionally arranged, and meanwhile, the method for pushing the face recognition picture based on the motion data is additionally arranged on control software.
Example 4
As shown in fig. 2, another aspect of the present invention provides a system for pushing a face recognition picture based on motion data, including a face PAD and a face comparison authentication platform located in a face recognition communication interval, a gate located in an entity card communication interval, and a ticketing platform; it is characterized in that the preparation method is characterized in that,
further comprising: the system comprises a first device for generating a gate channel video and a second device for generating motion data D; the first device and the second device are configured on a PAD or a gate of a human face;
the face PAD is also provided with: a controller for the passage of the face image,
the human face image passing controller:
for acquiring a 'gate channel video' and 'action data D';
the method is used for extracting a video image containing face features from a gate channel video as a face image;
the card swiping action information of the entity card is used for judging whether the card swiping action behavior of the entity card adopted by the user exists according to the action data D, if so, the face image sending judgment analysis is executed, and if not, the face image sending action is executed;
for performing facial image transmission decision analysis of: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, executing the action of discarding the 'face image'; if not, executing the action of sending the face image; time T2 is the generation time of "card swiping motion information", and T1 is the generation time of "face image";
a "face verification pass tag" for obtaining a response "face image";
face contrast authentication platform:
the system comprises a gate, a face verification pass label and a face verification pass label, wherein the face verification pass label is used for performing face comparison authentication on a current face image serving as a face image to be detected, and issuing a certificate serving as a gate opening certificate and a face card swiping transaction record to the gate after the authentication is passed;
a gate machine:
the system is used for opening a gate according to the 'face verification passing label' and generating a face card swiping transaction record;
a ticket service platform:
the system is used for carrying out expense settlement according to the face card swiping transaction record.
It can be seen that in the above system of the present invention, the present invention modifies the hardware and software of the face PAD. The second equipment of "action data D" has been add, has added: and judging whether the card swiping motion exists according to the motion data D, and determining whether the face image is sent backwards or not based on the card swiping motion. Therefore, the invention triggers whether the face image is sent or not by monitoring the card swiping action, thereby controlling repeated data from a data source. Repeated transaction records are avoided, and a screening program of the repeated transaction records is not required to be set subsequently. The operation amount of the face comparison authentication platform is greatly simplified, and the ticket business platform is simplified without setting a repeated transaction record screening program.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the invention/inventions, which are not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (11)
1. The method for pushing the face recognition picture based on the action data is characterized by comprising the following steps of:
s1, acquiring a gate channel video and action data D,
s2, extracting a video image containing face features from the gate channel video to serve as a face image;
s3, judging whether entity card swiping action information exists for the user to swipe the card by adopting the entity card according to the action data D, if so, turning to S4, and if not, turning to S6;
s4, executing face image sending judgment analysis, wherein the face image sending judgment analysis is as follows: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, turning to S5, and if not, turning to S6; wherein, the time T2 is the generation time of the 'card swiping action information', and the time T1 is the generation time of the 'face image';
s5, executing the action of discarding the face image;
and S6, executing the action of sending the face image.
2. The method for pushing a face recognition picture based on motion data as claimed in claim 1,
the 'gate channel video' is obtained by a first camera, and the first camera is a camera with a view field range covering the area in front of the gate.
3. The method for pushing a face recognition picture based on motion data as claimed in claim 1,
the action data D is obtained by a second camera, the second camera is a camera with a view field range covering the area of a card swiping panel of the entity card of the gate and capable of obtaining a depth image, and the action data D is the depth image.
4. The method for pushing a face recognition picture based on motion data as claimed in claim 3,
the process of judging whether the 'entity card swiping action information' of the action of swiping the card by the user by adopting the entity card exists according to the 'action data D' is as follows:
in the depth image, marking a fixed position of the card swiping panel area of the entity card in the depth space, wherein the fixed position comprises a depth range and an image range;
if the motion trajectory of the hand feature is overlapped with the depth range and the image range of the card swiping panel area of the physical card or the hand feature falls into the depth range and the image range of the card swiping panel area of the physical card in the depth image, generating card swiping action information and corresponding time T2, and judging whether the card swiping action information of the physical card exists or not, wherein the result is that: "is".
5. The method for pushing a face recognition picture based on motion data as claimed in claim 1,
the action data D is obtained by an infrared sensor, the infrared sensor is a sensor with an infrared sensing range covering the area of a card swiping panel of an entity card of the gate and capable of obtaining the area of the card swiping panel of the entity card of the gate, so that a hand infrared sensing signal is generated, and the action data D is the hand infrared sensing signal.
6. The method for pushing a face recognition picture based on motion data as claimed in claim 5,
the process of judging whether the 'entity card swiping action information' of the action of swiping the card by the user by adopting the entity card exists according to the 'action data D' is as follows:
if the hand infrared sensing signal exists, generating card swiping action information and corresponding time T2, and judging whether the card swiping action information of the entity card exists or not, wherein the result is as follows: "is".
7. The method for pushing a face recognition picture based on motion data as claimed in any one of claims 1 to 6,
the 'face image' is used as a 'face image to be checked' for the face card swiping pass of a user;
the action of sending the face image is executed by: sending the current 'face image' as 'a face image to be checked' to a face comparison authentication platform which issues 'a face verification passing label' after the verification is passed;
the 'face verification passing label' is used as a certificate for opening a gate and generating a face card swiping transaction record.
8. The method for pushing a face recognition picture based on motion data according to any one of claims 1-6, wherein the method for pushing a face recognition picture based on motion data is applied to face recognition PAD.
9. The device for pushing the face recognition picture based on the action data is characterized in that,
the method comprises the following steps:
one or more processors;
a storage unit, configured to store one or more programs, which when executed by the one or more processors, enable the one or more processors to implement the method for pushing a face recognition picture based on motion data according to any one of claims 1 to 8.
10. The device for pushing the face recognition picture based on the action data is characterized in that,
the method comprises the following steps:
a first camera for generating a 'gate channel video';
a second camera or infrared sensor that generates "motion data D";
one or more processors;
a storage unit, configured to store one or more programs, which when executed by the one or more processors, enable the one or more processors to implement the method for pushing a face recognition picture based on motion data according to any one of claims 1 to 8.
11. The system for pushing the face recognition picture based on the action data comprises a face PAD and a face comparison authentication platform which are positioned at a face recognition communication interval, a gate machine and a ticket service platform which are positioned at an entity card communication interval; it is characterized in that the preparation method is characterized in that,
further comprising: the system comprises a first device for generating a gate channel video and a second device for generating motion data D; the first device and the second device are configured on a PAD or a gate of a human face;
the face PAD is also provided with: a controller for the passage of the face image,
the human face image passing controller:
for acquiring a 'gate channel video' and 'action data D';
the method is used for extracting a video image containing face features from a gate channel video as a face image;
the card swiping action information of the entity card is used for judging whether the card swiping action behavior of the entity card adopted by the user exists according to the action data D, if so, the face image sending judgment analysis is executed, and if not, the face image sending action is executed;
the face image sending judgment analysis is used for executing the face image sending judgment analysis, and the face image sending judgment analysis comprises the following steps: judging whether the time T2 falls into a threshold time period T delta containing the time T1, if so, executing the action of discarding the 'face image'; if not, executing the action of sending the face image; time T2 is the generation time of "card swiping motion information", and T1 is the generation time of "face image";
a "face verification pass tag" for obtaining a response "face image";
face contrast authentication platform:
the system comprises a gate, a face verification pass label and a face verification pass label, wherein the face verification pass label is used for performing face comparison authentication on a current face image serving as a face image to be detected, and issuing a certificate serving as a gate opening certificate and a face card swiping transaction record to the gate after the authentication is passed;
a gate machine:
the system is used for opening a gate according to the 'face verification passing label' and generating a face card swiping transaction record;
a ticket service platform:
the system is used for carrying out expense settlement according to the face card swiping transaction record.
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