Rail traffic management system based on face recognition

Abstract

The invention relates to the technical field of rail transit, in particular to a rail transit management system based on face recognition, which comprises a rail transit ticket service platform, a face information base, a payment platform and a face information acquisition terminal mounted on a gate at a rail transit entrance and exit. The face information base is used for storing registered user face data; the face information acquisition terminal I on the gate acquires face information and then compares and screens the face information with a face information base to determine identity information of the passing personnel, so that a place where the passing personnel enter and exit the rail transit gate is positioned, and an actual passing line of the passing personnel is calculated; the rail transit ticket service platform charges after receiving the actual passing line of the passing personnel; and the payment platform deducts money to realize non-inductive riding / real-name riding.

Description

Technical Field

[0001] The present invention relates to the field of rail transit technology, and in particular to a rail transit management system based on face recognition. Background Art

[0002] In the operation of modern rail transit, gates equipped with facial recognition cameras are widely used to achieve efficient ticket information verification.

[0003] At present, facial recognition gates are only used for real-name information verification, and the use of facial information is limited. In view of the current demand for building smart cities, it is necessary to incorporate rail transit into smart management and become a part of smart cities. Therefore, this solution provides a rail transit management system based on facial recognition. On the basis of converting paper tickets into electronic tickets, it is upgraded again, and biometric features, namely facial information, are used as credentials for rail transit passes. It can not only save a lot of procedures for passers-by, but also save a lot of time. Summary of the invention

[0004] The present invention aims to at least solve the problem of low coverage of facial information utilization in rail transit management existing in the prior art.

[0005] This solution provides a rail transit management system based on face recognition, which is achieved by the following specific technical means: including a rail transit ticketing platform, a face information database, a payment platform, and a face information collection terminal installed on the gates at the entrance and exit of the rail transit;

[0006] The face information database is used to store registered user face data;

[0007] The face information collection terminal on the gate collects face information and compares and screens it with the face information database to determine the identity information of the passerby, thereby locating the location where the passerby enters and exits the rail transit gate and calculating the actual travel route of the passerby;

[0008] The rail transit ticketing platform charges after receiving the actual route traveled by the passenger;

[0009] The payment platform deducts the payment through third-party software after receiving the billing information sent by the rail transit ticketing platform.

[0010] Preferred technical solution 1: A travel management module is connected between the face information database and the face information collection terminal, and the travel management module is used to locate the location where the passers-by enter and exit the rail transit gate.

[0011] Preferred technical solution two: A face algorithm management module is connected between the face information database and the face information collection terminal. The face algorithm management module adopts a deep learning algorithm model for face recognition and supports recognition while wearing a mask.

[0012] Preferred technical solution three: also includes a passenger flow control unit, which is connected to the itinerary management module to obtain passenger flow time and regional distribution map, and feed back information to the municipal management department.

[0013] Preferred technical solution four: also includes a security module, which is used to analyze images collected by cameras on rail transit vehicles and in rail transit stations to identify abnormal behaviors.

[0014] Preferred technical solution five: also includes an alarm module, which sends out an alarm after discovering a person on the blacklist or a person with abnormal behavior, and asks staff for help to handle the matter.

[0015] Preferred technical solution six: The itinerary management module is connected to the rail transit ticketing platform to extract the preset route after the passers-by purchase tickets in advance. Before the passers-by leave the station from the exit gate, the actual route is compared with the preset route. If there is no match, the actual route is sent to the rail transit ticketing platform to trigger the itinerary adjustment module for re-billing.

[0016] The above structure enables this solution to have the following beneficial effects:

[0017] 1. With facial recognition technology, passengers do not need to do anything when entering the station. They only need to register and activate the facial recognition function. After the facial database is matched and confirmed, the passenger is allowed to pass, and then the fee is deducted through the third-party payment software to achieve seamless riding / real-name riding;

[0018] 2. The QR code and face point to a natural person, corresponding to a unified user code, to support mixed facial and code gate-passing;

[0019] 3. Deepening rail transit management and expanding in multiple directions will help build smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0021] Figure 1 This is a schematic diagram of the overall structure of this scheme.

[0022] Among them, 1. Rail transit ticketing platform, 2. Face information database, 3. Payment platform, 4. Face information collection terminal, 5. Itinerary management module, 6. Face algorithm management module, 7. Passenger flow control unit, 8. Security module, 9. Smart customer service, 10. Alarm module, 11. Itinerary adjustment module, 12. QR code recognition module. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 The rail transit management system based on face recognition includes a rail transit ticketing platform 1, a face information database 2, a payment platform 3 and a face information collection terminal 4 installed on the gate at the entrance and exit of the rail transit. The face information database 2 is used to store the registered user's face data, collect face information through the registration terminal, and build the face information database 2, which exists independently; the face information collection terminal 4 on the gate collects face information and compares and screens it with the face information database 2. The face information collection terminal 4 captures the facial features of the passenger, and transmits the face image to the face information database 2 for information matching. When the similarity condition is met, the identity information of the passerby is determined, so as to locate the location where the passerby enters and exits the rail transit gate, and calculate the actual travel route of the passerby; the rail transit ticketing platform 1 charges after receiving the actual travel route of the passerby; the payment platform 3 deducts the money through the third-party software after receiving the billing sent by the rail transit ticketing platform 1, so as to realize the senseless ride / real-name ride, optimize the passenger travel experience and comfort, and greatly improve the operation capacity.

[0025] See also Figure 1 , a rail transit management system based on face recognition, a trip management module 5 is connected between the face information database 2 and the face information collection terminal 4, and the trip management module 5 is used to locate the location where the passer-by enters and exits the rail transit gate; after the face information collection terminal 4 located on the entrance gate collects the face information of the passer-by, it feeds back to the trip management module 5 to obtain the initial positioning of the pass route. After the initial positioning of the pass route is determined, the trip management module 5 sends a pass work instruction to the gate to quickly open the door for the passenger to pass. A blacklist is set in the face information database 2, and the blacklist is connected to the rail transit ticketing platform 1 for acquisition. If the passer-by is determined to be on the blacklist, the face will be restricted from passing the gate;

[0026] After collecting the facial information of the passer-by, the facial information collection terminal 4 on the gate at the exit feeds back to the itinerary management module 5 to obtain the final location of the pass route. After the pass route is effectively determined, the itinerary management module 5 sends a pass work instruction to the gate to quickly open the door for the passenger to pass, otherwise the passenger will not be allowed to pass. If the initial location of the route cannot be obtained, the exit gate will not allow the passenger to pass; the itinerary management module 5 is connected to the rail transit ticketing platform 1, and extracts the preset route after the passer-by purchases the ticket in advance. Before the passer-by leaves the station from the exit gate, the actual pass route is compared with the preset route. If it does not match, the actual pass route is sent to the rail transit ticketing platform 1, triggering the itinerary adjustment module 11 for re-billing.

[0027] See also Figure 1 , a rail transit management system based on face recognition, a face algorithm management module 6 is connected between the face information database 2 and the face information collection terminal 4, the face algorithm management module 6 has a built-in face recognition algorithm model, the face recognition adopts a deep learning algorithm model, and supports mask recognition, the recognition accuracy is not less than 99.999%, and the recognition time is not higher than 250ms;

[0028] A QR code recognition module 12 is also provided on the gates at the entrance and exit. The QR code and face point to a natural person, corresponding to a unified user code, to support mixed face and code passage. If a user swipes his face to enter the station and then swipes the code to enter the station again, an error message will be given. If a user swipes the code to enter the station and then swipes his face, an error message will also be given. Only one user is allowed to enter and exit the station at a time.

[0029] See also Figure 1 In the rail transit management system based on face recognition, a heartbeat monitoring module is also provided on the gates at the entrance and exit, and the heartbeat monitoring module is used to monitor the heart rate of passers-by; when the face algorithm management module cannot correctly identify the collected face image after comparison, it is marked as an abnormal customer, and the heart rate of the abnormal customer is extracted through the heartbeat monitoring module, and the passers-by are comprehensively marked and analyzed.

[0030] See also Figure 1 The rail transit management system based on face recognition also includes a passenger flow control unit 7, which is connected to the itinerary management module 5 to obtain passenger flow time and regional distribution maps, so as to facilitate the adoption of measures to control the time periods and areas with dense passenger flow.

[0031] See also Figure 1The rail transit management system based on face recognition also includes a security module 8, which is used to analyze images collected by cameras on rail transit vehicles and in rail transit stations to identify abnormal behaviors. The camera can effectively identify abnormal human behaviors in the video through advanced image processing and machine learning technologies, and has been put into practical use in some specific scenarios. The development and application of this technology not only improves the level of public safety and personal safety, but also provides strong technical support for the realization of intelligent security systems; it also includes an alarm module 10. The alarm module 10 issues an alarm after discovering a person on the blacklist or a person with abnormal behavior, and asks staff for help to handle it.

[0032] See also Figure 1 The rail transit management system based on face recognition also includes smart customer service 9, which is used for itinerary inquiries, itinerary cancellations and itinerary supplementary registrations.

[0033] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A rail transit management system based on face recognition, characterized in that: It includes a rail transit ticketing platform (1), a facial information database (2), a payment platform (3), and a facial information collection terminal (4) installed on a gate at an entrance or exit of a rail transit; The face information database (2) is used to store registered user face data; The face information collection terminal (4) on the gate collects face information and compares and screens it with the face information database (2) to determine the identity information of the passerby, thereby locating the location where the passerby enters and exits the rail transit gate and calculating the actual travel route of the passerby; The rail transit ticketing platform (1) charges passengers after receiving information about the actual route they traveled; The payment platform (3) receives the billing information sent by the rail transit ticketing platform (1) and deducts the money.

2. A rail transit management system based on face recognition according to claim 1, characterized in that: A travel management module (5) is connected between the face information database (2) and the face information collection terminal (4), and the travel management module (5) is used to locate the location where the passerby enters and exits the rail transit gate and confirm whether the pass route is valid.

3. A rail transit management system based on face recognition according to claim 2, characterized in that: The itinerary management module (5) is connected to the rail transit ticketing platform (1). Before a passenger leaves the station from an exit gate, the actual travel route is compared with the preset route. If they do not match, the itinerary adjustment module (11) connected to the itinerary management module (5) is triggered to perform re-billing.

4. The rail transit management system based on face recognition according to claim 1, characterized in that: A face algorithm management module (6) is connected between the face information database (2) and the face information collection terminal (4), the face algorithm management module (6) having a built-in face recognition algorithm model, and the face recognition adopts a deep learning algorithm model.

5. A rail transit management system based on face recognition according to claim 4, characterized in that: A two-dimensional code recognition module (12) is also provided on the gate at the entrance and exit, and the two-dimensional code and the face point to a natural person.

6. The rail transit management system based on face recognition according to claim 3 is characterized in that: It also includes a passenger flow control unit, which is connected to the itinerary management module (5) for obtaining passenger flow time and regional distribution maps, and for information linkage with the municipal department.

7. The rail transit management system based on face recognition according to claim 1, characterized in that: It also comprises a security module (8), which is used to analyze images collected by cameras on rail transit vehicles and in rail transit stations to identify abnormal behaviors.

8. The rail transit management system based on face recognition according to claim 7, characterized in that: It also comprises an alarm module (10), wherein the alarm module (10) issues an alarm after discovering a person in the blacklist or a person with abnormal behavior.

9. The rail transit management system based on face recognition according to claim 1, characterized in that: It also includes a smart customer service (9), which is used to query itineraries, cancel itineraries, and make up itineraries.

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