CN110782241B - Hybrid face recognition public transportation payment system and method - Google Patents
Hybrid face recognition public transportation payment system and method Download PDFInfo
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- CN110782241B CN110782241B CN201911054067.2A CN201911054067A CN110782241B CN 110782241 B CN110782241 B CN 110782241B CN 201911054067 A CN201911054067 A CN 201911054067A CN 110782241 B CN110782241 B CN 110782241B
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000001815 facial effect Effects 0.000 claims abstract description 49
- 238000004891 communication Methods 0.000 claims description 7
- 238000012790 confirmation Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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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
- G06Q20/085—Payment architectures involving remote charge determination or related payment systems
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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
-
- 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
-
- 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
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Abstract
The invention provides a hybrid face recognition public transportation payment system and a method, wherein the system comprises a first face recognition device, a second face recognition device, a background server and a fee deduction terminal; the payment method comprises the following steps: when a person enters the face snapshot area, the first face recognition device collects facial features I of the person; after the background server receives the facial features I, approving whether the person is matched with the face database, if so, sending approved person information to the fee deduction terminal, otherwise, ending the flow; when a person enters the face recognition area, the second face recognition device collects the face characteristics II of the person and sends the face characteristics II to the fee deduction terminal; and after the fee deduction terminal receives the facial features II, comparing the consistency of the facial features II and the approved personnel information, if so, generating traffic data and returning to a background server to execute an offline fee deduction process.
Description
Technical Field
The invention relates to a bus payment system, in particular to a hybrid face recognition bus payment system and a hybrid face recognition bus payment method.
Background
With the development of economy, although private automobiles are becoming popular, the traffic conditions of cities are not improved, but instead, the traffic pressure of cities is becoming greater. In order to alleviate the problem of urban traffic congestion caused by excessive vehicles, construction of public transportation is a major way to solve the problem of urban traffic congestion. Coin or IC bus cards are used when taking subways or buses in the past, and coin or card swiping is carried out when the bus is on or in the bus.
At present, a plurality of buses also begin to charge in a mobile payment mode, two-dimensional codes are arranged on the buses, passengers can pay through a payment device and a WeChat mode, and certain defects exist in the mode: in the working and living of fast-paced and high-frequency large cities, people need to squeeze the rush hour and the rush hour every day, passengers need to queue up for scanning in the rush hour and the rush hour, and network payment inevitably has the conditions of network delay, network interruption and the like, so that a large number of passengers are easily jammed, the time delay, sometimes even the trampling and the like are caused, and danger is easy to occur, so that the existing bus payment system is necessary to be further improved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a hybrid face recognition payment system and method for a bus stop, and the specific scheme is as follows:
the invention provides a hybrid face recognition public transportation payment system, which is provided with a face snapshot area and a face recognition area;
a first face recognition device is arranged in the face snapshot area and used for collecting face characteristics I of a person passing through the face snapshot area;
setting a second face recognition device in the face recognition area, wherein the second face recognition device is used for acquiring facial features II of people passing through the face recognition area;
setting a background server, wherein the background server presets a face database, receives the facial features I or the facial features II, approves whether the personnel are matched with the face database, and sends approved personnel information to a fee deduction terminal; the background server also carries out fee deduction operation according to the traffic data returned by the fee deduction terminal;
a fee deduction terminal is arranged in the face recognition area and is in communication connection with the second face recognition device and the background server; and generating traffic data according to the consistency of the received facial features II and the approved personnel information, and returning the traffic data to a background server.
The invention further provides a hybrid face recognition public transportation payment method, a face snapshot area and a face recognition area are arranged, a first face recognition device is arranged in the face snapshot area, and a second face recognition device is arranged in the face recognition area;
setting a background server and a fee deduction terminal, wherein the background server presets a face database, and the fee deduction terminal is arranged in the face recognition area and is in communication connection with the second face recognition device;
when a person enters the face snapshot area, the first face recognition device collects facial features I of the person;
after the background server receives the facial features I, approving whether the person is matched with the face database, if so, sending approved person information to the fee deduction terminal, otherwise, ending the flow;
when a person enters the face recognition area, the second face recognition device collects the face characteristics II of the person and sends the face characteristics II to the fee deduction terminal;
after the fee deduction terminal receives the facial feature II, comparing the consistency of the facial feature II and the approved personnel information, and if the consistency is the same, generating traffic data and returning to a background server;
and after receiving the traffic data, the background server executes an offline fee deduction process.
Based on the above, the fee deduction terminal sets a local personnel information database for storing the personnel information after approval.
Based on the above, after receiving the approved personnel information, the fee deduction terminal screens whether the personnel information is stored in the local personnel information database, and if not, the fee deduction terminal updates the personnel information to the local personnel information database.
Based on the above, after the fee deducting terminal receives the facial feature ii, approving whether the person matches with the local person information database, if yes, generating traffic data and returning to the background server, otherwise, selecting other payment modes.
Based on the above, after the fee deducting terminal receives the facial feature II, approving whether the person is matched with the local person information database, if yes, generating traffic data and returning to a background server; if not, performing secondary confirmation: the fee deduction terminal sends the facial features II to the background server; and after receiving the facial features II, the background server approves whether the person is matched with the face database, if so, the approved person information is sent to the fee deduction terminal, the fee deduction terminal updates the information to the local person information database after receiving the approved person information, and the fee deduction terminal receives the facial features II again.
Based on the above, if the person still cannot match with the local person information database after the second confirmation, other payment methods are selected.
Based on the above, the other payment modes include payment treasures, weChat, IC bus card and coin.
Based on the above, the fee deduction terminal is further provided with a traffic prompt device for executing corresponding operation according to the traffic data.
Based on the above, the first face recognition device and the second face recognition device adopt face binocular webcams.
Compared with the prior art, the invention has outstanding substantive characteristics and remarkable progress, and the mixed face recognition payment system and method for the bus stop optimize the flow of bus payment and solve the trouble of traffic congestion caused by network online payment delay on bus management.
Drawings
Fig. 1 is a schematic diagram of a payment flow of the method of the present invention.
Fig. 2 is a schematic view of a scenario in embodiment 5 of the present invention.
In the figure, 11, a face snapshot area; 12. face recognition area; 13. a first face recognition device; 14. a second face recognition device; 15. a fee deduction terminal; 16. and a traffic prompt device.
Detailed Description
The technical scheme of the invention is further described in detail through the following specific embodiments.
Example 1
As shown in fig. 1, a hybrid face recognition public transportation payment system is provided with a face snapshot area and a face recognition area;
a first face recognition device is arranged in the face snapshot area and used for collecting face characteristics I of a person passing through the face snapshot area; setting a second face recognition device in the face recognition area, wherein the second face recognition device is used for acquiring facial features II of people passing through the face recognition area;
setting a background server, wherein the background server presets a face database, receives the face feature I or the face feature II, approves whether the person is matched with the face database (person screening), and sends approved person information to a fee deduction terminal; the background server also carries out fee deduction operation according to the traffic data returned by the fee deduction terminal;
a fee deduction terminal is arranged in the face recognition area and is in communication connection with the second face recognition device and the background server; and generating traffic data according to the consistency of the received facial features II and the approved personnel information, and returning the traffic data to a background server (local face recognition authentication).
The payment flow of the system of the invention is as follows:
when a person enters the face snapshot area, the first face recognition device collects facial features I of the person;
after the background server receives the facial features I, approving whether the person is matched with the face database, if so, sending approved person information to the fee deduction terminal, otherwise, ending the flow;
when a person enters the face recognition area, the second face recognition device collects the face characteristics II of the person and sends the face characteristics II to the fee deduction terminal;
after the fee deduction terminal receives the facial feature II, comparing the consistency of the facial feature II and the approved personnel information, and if the consistency is the same, generating traffic data and returning to a background server;
and after receiving the traffic data, the background server executes an offline fee deduction process.
For a bus payment system with a large number of members, hundreds of thousands, millions or even tens of millions, since the front-end equipment cannot store excessive member information, the number of identification errors increases after the member information reaches a certain level. By adopting the system, the background server stores the member information, supports huge personnel screening work during payment, sends the screened personnel information to the fee deduction terminal for local face recognition authentication, and carries out offline fee deduction after the authentication is passed. Through setting up of face snapshot area and face identification area, when carrying out the payment flow, personnel are getting into the snapshot scope, have certain traffic distance to face identification area between, have increased corresponding communication time physically, have optimized the flow of public transit payment, have solved the people stream jam that the network online payment delay led to and have managed the puzzlement to public transit.
Example 2
This embodiment differs from embodiment 1 in that: in order to solve the problem that the whole network environment is unstable, network delay, network interruption and the like occur, so that online payment cannot be continued. The fee deduction terminal is provided with a local personnel information database for storing personnel information after approval. And when the person enters the face recognition area, the second face recognition device collects the facial features II of the person and sends the facial features II to the fee deducting terminal, and after the fee deducting terminal receives the facial features II, whether the person is matched with the local person information database is approved, if so, traffic data are generated and returned to the background server after the network is restored, and the background server executes an offline fee deduction flow.
If the person cannot be matched with the local person information database, and the fee deduction terminal cannot establish communication with the background server at the moment, other payment modes are selected. Other payment modes comprise payment treasures, weChat, IC bus cards and coin-freed.
Example 3
The difference between this embodiment and embodiment 2 is that this embodiment provides an update method of the local personnel information database: and after receiving the approved personnel information, the fee deduction terminal screens whether the personnel information is stored in a local personnel information database, and if not, the fee deduction terminal updates the personnel information to the local personnel information database so as to solidify part of common passengers to the place of the fee deduction terminal.
Through analyzing riding data, analyzing the using frequency, using time and the like of each bus station personnel, sorting the data according to corresponding weights, analyzing the first N personnel information of each bus station, inputting the personnel information into a local personnel information database of a fee deduction terminal for fixation, facilitating the off-line identification of the partial population at the common bus station, and not affecting the use of the users under the condition of network interruption caused by certain reasons.
Example 4
This embodiment differs from embodiment 2 in that: in order to reduce misidentification and ensure payment quality, when a person enters the face recognition area, the second face recognition device collects the facial features II of the person and sends the facial features II to the fee deduction terminal, and when the fee deduction terminal receives the facial features II, the person cannot be matched with the local person information database, and secondary confirmation is performed:
the fee deduction terminal sends the facial features II to the background server;
and after receiving the facial features II, the background server approves whether the person is matched with the face database, if so, the approved person information is sent to the fee deduction terminal, the fee deduction terminal updates the information to the local person information database after receiving the approved person information, and the fee deduction terminal receives the facial features II again.
If the person still cannot be matched with the local person information database after the secondary confirmation, other payment modes are selected. Other payment modes comprise payment treasures, weChat, IC bus cards and coin-freed.
Example 5
The difference between this embodiment and the above embodiment is that a specific implementation scenario is provided: as shown in fig. 2, the face capturing area 11 and the face recognition area 12 are sequentially disposed in an inbound channel of a rapid bus station, the first face recognition device 13 is disposed corresponding to the face capturing area 11, the second face recognition device 14 is disposed corresponding to the face recognition area 12, and the first face recognition device 13 and the second face recognition device 14 both employ a face binocular webcam. The fee deduction terminal 15 is arranged in the face recognition area 12, and the fee deduction terminal 15 is further provided with a traffic prompt device 16 for executing corresponding operation according to the traffic data. When the intelligent face recognition system is used, when a passenger successively enters the face capture area 11 and the face recognition area 12, personnel screening and local face recognition authentication are sequentially carried out, after the authentication is successful, a traffic prompt device 16 is arranged to prompt that the authentication is successful, the passenger can directly enter the station, and if the authentication is unsuccessful, the traffic prompt device 16 can also be arranged to prompt that the passenger selects other payment modes.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same; while the invention has been described in detail with reference to the preferred embodiments, those skilled in the art will appreciate that: modifications may be made to the specific embodiments of the present invention or equivalents may be substituted for part of the technical features thereof; without departing from the spirit of the invention, it is intended to cover the scope of the invention as claimed.
Claims (7)
1. A hybrid face recognition public transportation payment system is characterized in that:
setting a face snapshot area and a face recognition area; the face snapshot area and the face recognition area are sequentially arranged in an inbound channel of the rapid bus station;
a first face recognition device is arranged in the face snapshot area and used for collecting face characteristics I of a person passing through the face snapshot area;
setting a second face recognition device in the face recognition area, wherein the second face recognition device is used for acquiring facial features II of people passing through the face recognition area;
setting a background server, wherein the background server presets a face database, receives the facial features I or the facial features II, approves whether the personnel are matched with the face database, and sends approved personnel information to a fee deduction terminal; the background server also carries out fee deduction operation according to the traffic data returned by the fee deduction terminal;
a fee deduction terminal is arranged in the face recognition area and is in communication connection with the second face recognition device and the background server; generating traffic data according to the consistency of the received facial features II and the approved personnel information, and returning the traffic data to a background server; the fee deduction terminal is provided with a local personnel information database for storing personnel information after approval;
after the fee deduction terminal receives the facial features II, approving whether the personnel are matched with the local personnel information database, if so, generating traffic data and returning to a background server;
if not, performing secondary confirmation:
the fee deduction terminal sends the facial features II to the background server;
and after receiving the facial features II, the background server approves whether the person is matched with the face database, if so, the approved person information is sent to the fee deduction terminal, the fee deduction terminal updates the information to the local person information database after receiving the approved person information, and the fee deduction terminal receives the facial features II again.
2. A hybrid face recognition public transportation payment method is characterized in that:
setting a face snapshot area and a face recognition area, wherein the face snapshot area is provided with a first face recognition device, and the face recognition area is provided with a second face recognition device; the face snapshot area and the face recognition area are sequentially arranged in an inbound channel of the rapid bus station;
setting a background server and a fee deduction terminal, wherein the background server presets a face database, and the fee deduction terminal is arranged in the face recognition area and is in communication connection with the second face recognition device; the fee deduction terminal is provided with a local personnel information database for storing personnel information after approval; the fee deduction terminal is also provided with a traffic prompt device for executing corresponding operation according to the traffic data;
when a person enters the face snapshot area, the first face recognition device collects facial features I of the person;
after the background server receives the facial features I, approving whether the person is matched with the face database, if so, sending approved person information to the fee deduction terminal, otherwise, ending the flow;
when a person enters the face recognition area, the second face recognition device collects the face characteristics II of the person and sends the face characteristics II to the fee deduction terminal;
after the fee deduction terminal receives the facial feature II, comparing the consistency of the facial feature II and the approved personnel information, and if the consistency is the same, generating traffic data and returning to a background server;
after the fee deduction terminal receives the facial features II, approving whether the personnel are matched with the local personnel information database, if so, generating traffic data and returning to a background server;
if not, performing secondary confirmation:
the fee deduction terminal sends the facial features II to the background server;
after the background server receives the facial features II, approving whether the person is matched with the face database, if so, sending approved person information to the fee deduction terminal, updating the fee deduction terminal to the local person information database after receiving the approved person information, and re-receiving the facial features II by the fee deduction terminal;
and after receiving the traffic data, the background server executes an offline fee deduction process.
3. The hybrid face recognition bus payment method according to claim 2, wherein:
and after receiving the approved personnel information, the fee deduction terminal screens whether the personnel information is stored in the local personnel information database, and if not, the fee deduction terminal updates the personnel information to the local personnel information database.
4. The hybrid face recognition bus payment method according to claim 2, wherein:
and after the fee deduction terminal receives the facial features II, approving whether the personnel are matched with the local personnel information database, if so, generating traffic data and returning to a background server, otherwise, selecting other payment modes.
5. The hybrid face recognition bus payment method according to claim 2, wherein: if the person still cannot be matched with the local person information database after the secondary confirmation, other payment modes are selected.
6. The hybrid face recognition bus payment method according to claim 4 or 5, wherein: other payment modes comprise payment treasures, weChat, IC bus cards and coin-freed.
7. The hybrid face recognition bus payment method according to any one of claims 2-5, wherein: the first face recognition device and the second face recognition device adopt face binocular network cameras.
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| CN201911054067.2A CN110782241B (en) | 2019-10-31 | 2019-10-31 | Hybrid face recognition public transportation payment system and method |
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