CN111862433A - Non-inductive traffic payment method and device - Google Patents
Non-inductive traffic payment method and device Download PDFInfo
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- CN111862433A CN111862433A CN202010730831.XA CN202010730831A CN111862433A CN 111862433 A CN111862433 A CN 111862433A CN 202010730831 A CN202010730831 A CN 202010730831A CN 111862433 A CN111862433 A CN 111862433A
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/14—Payment architectures specially adapted for billing systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/42—Confirmation, e.g. check or permission by the legal debtor of payment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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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
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
Abstract
The invention relates to a method and a device for noninductive traffic payment, which comprise the following steps: the system comprises a mobile registration and payment binding module, an entrance face image acquisition module, an exit face image acquisition module, an abnormal passage inspection module and a non-sensitive payment analysis and calculation platform; the entrance face image acquisition module acquires face image information of a consumer in a non-inductive entrance area and transmits the face image information to the non-inductive payment analysis and calculation platform; the exit face image acquisition module acquires face image information of a consumer in a non-inductive exit area and transmits the face image information to the non-inductive payment analysis and calculation platform; and the registration and payment binding module sends the registration and payment information to the background dynamic computing platform. The at least two stages of face image recognition cameras collect the face images, so that the face image recognition precision is improved, and the accuracy is ensured; meanwhile, the risk is reduced for the treatment of non-compliance paying personnel.
Description
Technical Field
The invention relates to the technical field of electronics, in particular to a non-inductive payment method and device.
Background
With the continuous improvement of the image face recognition technology and the maturity of the electronic payment technology, people generally use a payment mode of scanning two-dimensional codes or swiping a traffic card in each channel toll place, so that the access speed of a consumer in a channel is reduced, the situation of congestion is easily caused, and the shopping consumption quality of the consumer is reduced. And the situation that the contrast precision is insufficient may occur in the conventional one-time image information contrast, so that the fee deduction is inaccurate or wrong.
Disclosure of Invention
The invention aims to provide a method and a device for sensorless traffic payment, aiming at the problems.
A non-sensitive traffic payment method comprises the following steps:
and (3) registration and payment binding operation:
s11: the consumer uses the mobile terminal APP to complete internet payment authorization;
s12: a consumer uses a mobile terminal APP to collect a face image of the consumer and uploads the face image to a face image database of a database server;
s13: finishing the binding of the face image;
extracting the face image information of the non-sensory area:
s21: collecting all the face image information of the consumers in the non-sensing area, and sequentially uploading the face image information to the artificial intelligent server through the communication unit;
s22: the artificial intelligence server checks and analyzes the received face image information for abnormal conditions such as that the face intentionally shields a false living body, and sends the analysis result to the abnormal passage checking module through the communication unit; meanwhile, the artificial intelligence server performs multi-stage comparison confirmation on the received face image information meeting the verification requirement and a face image database of the database server;
s23: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s24: the artificial intelligence server transmits the inbound time information and the inbound position information of the consumer to a consumer consumption information database corresponding to the database server according to the comparison authentication result;
sending inbound information to the consumer:
s31: sending the time information and the position information of the inbound of the consumer to the APP of the mobile terminal of the consumer through the communication unit
Extracting the face image information of the non-sensory area:
s41: acquiring face image information of all consumers in a non-sensory area and uploading the face image information to an artificial intelligent server;
s42: the artificial intelligence server carries out multi-stage comparison on the received face image information and a face image database of the database server;
s43: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s44: the artificial intelligence server transmits the outbound time information and the outbound position information of the consumer to a consumer information database of the database server according to the comparison authentication result;
customer travel OD matching:
s51: the travel matching calculation server extracts the access time information and the access position information of the corresponding consumer from the database server according to the face image information comparison result of the artificial intelligence server;
s52: the travel matching calculation server generates a consumer travel OD according to the acquired time information and the acquired position information;
generating fee deduction information and deducting:
s61: the travel matching calculation server performs anomaly analysis according to the travel OD of the consumer; if the travel OD is abnormal or the balance is abnormal, abnormal information is sent to the abnormal traffic inspection module through the communication unit; if the travel OD is not abnormal, fee deduction is carried out according to the travel OD, fee deduction information is generated and sent to the customer mobile terminal APP;
s62: the abnormal passage inspection module tracks, analyzes and handles OD matching abnormal information.
The consumer face image information acquisition comprises the steps of acquiring the consumer face image information of a non-sensory inlet area through a face image recognition device arranged in the non-sensory inlet area, and acquiring the consumer face image information of the non-sensory outlet area through a face image recognition device arranged in the non-sensory outlet area.
Furthermore, the face image recognition equipment is arranged in a non-inductive inlet area, and is used for actively brushing the face to collect or non-inductive passive face information to collect face image information and uploading the face image information to the artificial intelligent server through the communication unit.
Further, the processing of the OD matching abnormal information by the abnormal inspection module comprises sending a prompt to a non-compliance processing terminal at an outlet to enter non-compliance processing if the actual consumption cost of a consumer is greater than the balance of the consumer in fee deduction information generated by the travel matching calculation server, wherein the non-compliance processing comprises field processing and internet processing.
Further, a method for payment without passing through, the field processing comprises:
a11: manually intervening by a service provider to find out non-compliant consumers;
a12: if the consumers cooperate with the treatment, the treatment is released; if the consumer does not cooperate with the processing, the file is reported and recorded in the consumer file.
Further, a method for payment without passing through the internet comprises the following steps:
a21: informing the consumer of non-compliance behavior in a short message/APP mode, and asking the consumer to perform matching processing;
a22: after the consumer is matched and processed, the non-compliance record of the time is eliminated for the consumer; if the consumer does not cooperate or pays the excess fee in time, the consumer forcibly deducts the fee from the third party to eliminate the non-compliance record at this time, but notes the consumption behavior at this time; if the consumer does not cooperate or pays the excess fee in time and cannot deduct the fee forcibly, reporting and recording the fee in the consumer file.
Further, the consumer profile is used for integrity evaluation, and the evaluation result is provided for the service provider to decide whether to continue providing the service in the later period.
A no-pass payment device, comprising: the system comprises a mobile registration and payment binding module, an entrance face image acquisition module, an exit face image acquisition module, an abnormal passage inspection module and a non-sensitive payment analysis and calculation platform; the entrance face image acquisition module acquires face image information of a consumer in a non-inductive entrance area and transmits the face image information to the non-inductive payment analysis and calculation platform; the exit face image acquisition module acquires face image information of a consumer in a non-inductive exit area and transmits the face image information to the non-inductive payment analysis and calculation platform; and the registration and payment binding module sends the registration and payment information to the background dynamic computing platform.
Further, the non-inductive passing payment device comprises an artificial intelligence server, a travel matching calculation server, a database server and a communication unit.
Further, the entrance face image acquisition module and the exit face image acquisition module can be gate PAD/column type capturing machine/hanging type camera.
The invention achieves the following beneficial effects:
1. the multistage facial image recognition camera provided by the invention collects the facial images, improves the facial image recognition precision and ensures the accuracy.
2. The invention reduces the risk for the handling of non-compliant payers.
3. The non-inductive payment device avoids the condition of congestion at the toll gate of the channel, and enables consumers to obtain good shopping and consumption experience.
Drawings
Fig. 1 is a schematic block diagram of a payment device of the present invention.
Fig. 2 is a schematic flow chart of the payment method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the examples of the present invention will be described clearly and completely with reference to the accompanying drawings in the examples of the present invention. It is to be understood that the described embodiments are merely exemplary of some, and not necessarily all, embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Examples
In this embodiment, as shown in fig. 1, a no-sense passage payment apparatus includes: the system comprises a mobile registration and payment binding module, an entrance face image acquisition module, an exit face image acquisition module, an abnormal passage inspection module and a non-sensitive payment analysis and calculation platform; the entrance face image acquisition module acquires face image information of a consumer in a non-inductive entrance area and transmits the face image information to the non-inductive payment analysis and calculation platform; the exit face image acquisition module acquires face image information of a consumer in a non-inductive exit area and transmits the face image information to the non-inductive payment analysis and calculation platform; and the registration and payment binding module sends the registration and payment information to the background dynamic computing platform.
In this embodiment, the non-inductive passing payment device includes an artificial intelligence server, a trip matching calculation server, a database server, and a communication unit.
In this embodiment, the face image capturing devices of the entrance face image capturing module and the exit face image capturing module may be gate PADs/column type capturing machines/hanging cameras.
In this embodiment, as shown in fig. 2, a method for payment without passing through includes the following steps:
and (3) registration and payment binding operation:
s11: the consumer uses the mobile terminal APP to complete internet payment authorization;
s12: a consumer uses a mobile terminal APP to collect a face image of the consumer and uploads the face image to a face image database of a database server;
s13: finishing the binding of the face image;
extracting the face image information of the non-sensory area:
s21: collecting all the face image information of the consumers in the non-sensing area, and sequentially uploading the face image information to the artificial intelligent server through the communication unit;
s22: the artificial intelligence server checks and analyzes the received face image information for abnormal conditions such as that the face intentionally shields a false living body, and sends the analysis result to the abnormal passage checking module through the communication unit; meanwhile, the artificial intelligence server performs multi-stage comparison confirmation on the received face image information meeting the verification requirement and a face image database of the database server;
s23: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s24: the artificial intelligence server transmits the inbound time information and the inbound position information of the consumer to a consumer consumption information database corresponding to the database server according to the comparison authentication result;
sending inbound information to the consumer:
s31: sending the time information and the position information of the inbound of the consumer to the APP of the mobile terminal of the consumer through the communication unit
Extracting the face image information of the non-sensory area:
s41: acquiring face image information of all consumers in a non-sensory area and uploading the face image information to an artificial intelligent server;
s42: the artificial intelligence server carries out multi-stage comparison on the received face image information and a face image database of the database server;
s43: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s44: the artificial intelligence server transmits the outbound time information and the outbound position information of the consumer to a consumer information database of the database server according to the comparison authentication result;
customer travel OD matching:
s51: the travel matching calculation server extracts the access time information and the access position information of the corresponding consumer from the database server according to the face image information comparison result of the artificial intelligence server;
s52: the travel matching calculation server generates a consumer travel OD according to the acquired time information and the acquired position information;
generating fee deduction information and deducting:
s61: the travel matching calculation server performs anomaly analysis according to the travel OD of the consumer; if the travel OD is abnormal or the balance is abnormal, abnormal information is sent to the abnormal traffic inspection module through the communication unit; if the travel OD is not abnormal, fee deduction is carried out according to the travel OD, fee deduction information is generated and sent to the customer mobile terminal APP;
s62: the abnormal passage inspection module tracks, analyzes and handles OD matching abnormal information.
In this embodiment, the collecting of the consumer face image information includes collecting the consumer face image information in the non-sensory area through a face image recognition device disposed in the non-sensory area, and collecting the consumer face image information in the non-sensory area through a face image recognition device disposed in the non-sensory area.
In this embodiment, the face image recognition device is disposed in the non-inductive area, and acquires face image information through active face brushing or non-inductive passive face information acquisition, and uploads the face image information to the artificial intelligent server through the communication unit.
In this embodiment, the processing of the OD matching abnormal information by the abnormality checking module includes sending a prompt to a non-compliance processing terminal at an exit to enter non-compliance processing if the actual consumption cost of the consumer is greater than the balance of the consumer in the fee deduction information generated by the trip matching calculation server, where the non-compliance processing includes field processing and internet processing.
In this embodiment, a method for payment without induction of traffic includes, in the field processing:
a11: manually intervening by a service provider to find out non-compliant consumers;
a12: if the consumers cooperate with the treatment, the treatment is released; if the consumer does not cooperate with the processing, the file is reported and recorded in the consumer file.
In this embodiment, a method for payment without induction of traffic, where the internet processing includes:
a21: informing the consumer of non-compliance behavior in a short message/APP mode, and asking the consumer to perform matching processing;
a22: after the consumer is matched and processed, the non-compliance record of the time is eliminated for the consumer; if the consumer does not cooperate or pays the excess fee in time, the consumer forcibly deducts the fee from the third party to eliminate the non-compliance record at this time, but notes the consumption behavior at this time; if the consumer does not cooperate or pays the excess fee in time and cannot deduct the fee forcibly, reporting and recording the fee in the consumer file.
In this embodiment, the consumer profile is used for integrity evaluation, and the evaluation result is provided to the service provider to determine whether to continue to provide the service in the later stage.
Claims (10)
1. A no-sense passage payment method, characterized in that the method comprises the following steps:
and (3) registration and payment binding operation:
s11: the consumer uses the mobile terminal APP to complete internet payment authorization;
s12: a consumer uses a mobile terminal APP to collect a face image of the consumer and uploads the face image to a face image database of a database server;
s13: finishing the binding of the face image;
extracting the face image information of the non-sensory area:
s21: collecting all the face image information of the consumers in the non-sensing area, and sequentially uploading the face image information to the artificial intelligent server through the communication unit;
s22: the artificial intelligence server checks and analyzes the received face image information for abnormal conditions such as that the face intentionally shields a false living body, and sends the analysis result to the abnormal passage checking module through the communication unit; meanwhile, the artificial intelligence server performs multi-stage comparison confirmation on the received face image information meeting the verification requirement and a face image database of the database server;
s23: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s24: the artificial intelligence server transmits the inbound time information and the inbound position information of the consumer to a consumer consumption information database corresponding to the database server according to the comparison authentication result;
sending inbound information to the consumer:
s31: sending the time information and the position information of the inbound of the consumer to the APP of the mobile terminal of the consumer through the communication unit
Extracting the face image information of the non-sensory area:
s41: acquiring face image information of all consumers in a non-sensory area and uploading the face image information to an artificial intelligent server;
s42: the artificial intelligence server carries out multi-stage comparison on the received face image information and a face image database of the database server;
s43: the artificial intelligence server automatically carries out data aggregation and identity authentication on the same person according to the comparison result;
s44: the artificial intelligence server transmits the outbound time information and the outbound position information of the consumer to a consumer information database of the database server according to the comparison authentication result;
customer travel OD matching:
s51: the travel matching calculation server extracts the access time information and the access position information of the corresponding consumer from the database server according to the face image information comparison result of the artificial intelligence server;
s52: the travel matching calculation server generates a consumer travel OD according to the acquired time information and the acquired position information;
generating fee deduction information and deducting:
s61: the travel matching calculation server performs anomaly analysis according to the travel OD of the consumer; if the travel OD is abnormal or the balance is abnormal, abnormal information is sent to the abnormal traffic inspection module through the communication unit; if the travel OD is not abnormal, fee deduction is carried out according to the travel OD, fee deduction information is generated and sent to the customer mobile terminal APP;
s62: the abnormal passage inspection module tracks, analyzes and handles OD matching abnormal information.
2. The method as claimed in claim 1, wherein the collecting of the facial image information of the consumer comprises collecting the facial image information of the consumer in the non-sensory area by a facial image recognition device disposed in the non-sensory area, and collecting the facial image information of the consumer in the non-sensory area by a facial image recognition device disposed in the non-sensory area.
3. The sensorless toll payment method according to claim 2, wherein the facial image recognition device is disposed in the sensorless zone, and acquires facial image information through active face brushing or sensorless passive face information, and uploads the facial image information to the artificial intelligence server through the communication unit.
4. The method as claimed in claim 1, wherein the processing of the OD matching exception information by the exception checking module includes sending a prompt to the non-compliant processing terminal at the exit to enter non-compliant processing if the actual consumption cost of the consumer is greater than the balance of the consumer in the deduction information generated by the trip matching calculation server, and the non-compliant processing includes field processing and internet processing.
5. The method for payment without passing through of claim 4, wherein the on-site processing comprises:
a11: manually intervening by a service provider to find out non-compliant consumers;
a12: if the consumers cooperate with the treatment, the treatment is released; if the consumer does not cooperate with the processing, the file is reported and recorded in the consumer file.
6. The method of claim 4, wherein the internet processing comprises:
a21: informing the consumer of non-compliance behavior in a short message/APP mode, and asking the consumer to perform matching processing;
a22: after the consumer is matched and processed, the non-compliance record of the time is eliminated for the consumer; if the consumer does not cooperate or pays the excess fee in time, the consumer forcibly deducts the fee from the third party to eliminate the non-compliance record at this time, but notes the consumption behavior at this time; if the consumer does not cooperate or pays the excess fee in time and cannot deduct the fee forcibly, reporting and recording the fee in the consumer file.
7. A blind payment method as claimed in claim 5 or 6 wherein the consumer profile is used for integrity assessment and the assessment results are provided to the service provider to make a decision whether to continue to provide services at a later time.
8. A no-pass payment device, the device comprising: the system comprises a mobile registration and payment binding module, an entrance face image acquisition module, an exit face image acquisition module, an abnormal passage inspection module and a non-sensitive payment analysis and calculation platform; the entrance face image acquisition module acquires face image information of a consumer in a non-inductive entrance area and transmits the face image information to the non-inductive payment analysis and calculation platform; the exit face image acquisition module acquires face image information of a consumer in a non-inductive exit area and transmits the face image information to the non-inductive payment analysis and calculation platform; and the registration and payment binding module sends the registration and payment information to the background dynamic computing platform.
9. The payment device of claim 8, wherein the platform comprises an artificial intelligence server, a travel matching calculation server, a database server and a communication unit.
10. The sensorless traffic payment device of claim 8, wherein the facial image capturing devices of the entrance facial image capturing module and the exit facial image capturing module can be gate PAD/column type capturing machine/hanging camera.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010730831.XA CN111862433A (en) | 2020-07-27 | 2020-07-27 | Non-inductive traffic payment method and device |
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| CN202010730831.XA CN111862433A (en) | 2020-07-27 | 2020-07-27 | Non-inductive traffic payment method and device |
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| CN107527207A (en) * | 2017-08-30 | 2017-12-29 | 重庆中科云丛科技有限公司 | A kind of smart shopper method of payment based on recognition of face certification |
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| CN111028058A (en) * | 2019-12-11 | 2020-04-17 | 成都智元汇信息技术股份有限公司 | Ticket system based on face recognition |
| CN111340498A (en) * | 2017-06-23 | 2020-06-26 | 阿里巴巴集团控股有限公司 | Method and device for realizing offline transaction |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111340498A (en) * | 2017-06-23 | 2020-06-26 | 阿里巴巴集团控股有限公司 | Method and device for realizing offline transaction |
| CN107527207A (en) * | 2017-08-30 | 2017-12-29 | 重庆中科云丛科技有限公司 | A kind of smart shopper method of payment based on recognition of face certification |
| CN108428123A (en) * | 2018-02-13 | 2018-08-21 | 口碑(上海)信息技术有限公司 | The method of payment and device of identity-based identification |
| CN110796747A (en) * | 2019-12-11 | 2020-02-14 | 成都智元汇信息技术股份有限公司 | Ticket selling and checking system based on face recognition |
| CN111028058A (en) * | 2019-12-11 | 2020-04-17 | 成都智元汇信息技术股份有限公司 | Ticket system based on face recognition |
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Application publication date: 20201030 |