CN210515326U - Scenic spot ticket inspection system based on face AI recognition - Google Patents
Scenic spot ticket inspection system based on face AI recognition Download PDFInfo
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- CN210515326U CN210515326U CN201922083068.1U CN201922083068U CN210515326U CN 210515326 U CN210515326 U CN 210515326U CN 201922083068 U CN201922083068 U CN 201922083068U CN 210515326 U CN210515326 U CN 210515326U
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Abstract
The utility model belongs to AI identification system field especially relates to scenic spot ticket inspection system based on people's face AI discernment. The method is characterized in that: the cloud server exchanges data with the face library, facial information of tourists who swipe faces and enter the scenic region is extracted from the face library, whether the collected faces are recorded in the face library or not is compared with the mobile terminal device, if the faces are not recorded, the tourists are judged to be ticket-evading, and warning information is sent to the mobile terminal device and the command center of the command scenic region. Scenic spot staff wears mobile terminal equipment to walk about or the shooting of stewing in visitor crowd, receives feedback information after, can handle on-the-spot rapidly to the evidence is retained at scenic spot command center. The scene personnel in time handle, avoid blocking the visitor, do not influence normal visitor's tourism mood, promote the satisfaction, can effectively carry out the administration work of behavior of fleing for a fee, also can carry out key personnel's screening work according to self-defined people's face storehouse.
Description
Technical Field
The utility model belongs to AI identification system field especially relates to scenic spot ticket inspection system based on people's face AI discernment.
Background
With the improvement of living standard, people pursue spiritual needs and living quality more and more intensely, and tourism becomes an important mode of leisure and relaxation. With the constant temperature rise of the tourism industry, the number of tourists in various places is continuously increased. Especially, the tourists in famous scenic spots at home and abroad are always high, and ticket checking work at the entrance and the exit of the scenic spots increases great burden for daily reception of the scenic spots. Particularly, the occurrence of some ticket evasion or fake ticket phenomena brings about a lot of economic losses to the scenic spots every year.
The traditional scenic spot ticket checking is a manual checking and checking mode, and personnel needs to be arranged at each gate of each scenic spot for ticket checking, so that a great amount of human resources are consumed. With the development of face recognition technology, in order to better reduce the cost of human resources, an automatic ticket checking system needs to be developed in the aspect of ticket checking in scenic spots, so that the human resources of scenic spots in the aspect of ticket checking can be better reduced.
Chinese patent application 201510812683.5 discloses a scenic spot automatic ticket checking system based on face recognition, which belongs to the field of face recognition and comprises a controller module, a database module, a face recognition module, a power supply module, a face data acquisition module, an action execution module, an infrared induction module and an inquiry display module; the infrared sensing module is used for sensing whether a person approaches the ticket checking system or not, and when the person approaches the ticket checking system, the height of the person is sensed, and sensing data are transmitted to the controller module; the controller module adjusts the face recognition module to the most appropriate position for face verification and recognition; the system also further comprises an alarm module, when the tourists enter the system in a ticket evasion or forced mode, the alarm module sends out an alarm sound to inform a scenic spot manager to process; the problem of the ticket checking cost of scenic spot gate a large amount of labours is solved. The method has the defects that the problem that the ticket-evading tourists enter the scenic spot from the field path and evade the ticket checking cannot be solved, and the number of the ticket-evading tourists cannot be identified in the tourists.
SUMMERY OF THE UTILITY MODEL
To the problem that prior art exists, the utility model provides a scenic spot ticket proof inspection system based on people's face AI discernment that can discern the visitor of fleing a bill in the visitor crowd.
The technical scheme that its technical problem of utility model is solved is, a scenic spot ticket inspection system based on people's face AI discernment, including scenic spot command center, scenic spot ticketing system, front end acquisition equipment and 5G transmission module, scenic spot command center sets up monitor screen and information interaction, calculation, storage device based on private cloud and intranet; the scenic spot ticketing system is provided with a ticketing information database and a face information database, and realizes data association index between the two databases according to the ticket number and the identity card number; the front-end acquisition equipment comprises a portable camera unit and a face AI identification unit, and is used for realizing preliminary operation on the basis of image acquisition and establishing a face data model; the 5G transmission module realizes data interaction between the front-end acquisition equipment and a scenic spot command center and a ticketing system by utilizing the characteristics of high bandwidth and low delay of 5G.
The interaction mechanism of the cloud server and the face library is as follows: the face information collected from the front end is preliminarily audited by the front-end equipment, after meeting the requirement of a comparison point, the face information is transmitted by the 5G equipment and is transmitted back to the server, the server is compared with the face information database, a comparison result is returned according to a preset threshold value, if the result is confirmed, the result is defaulted to be a normal ticket buying tourist, if the result is not confirmed, the result is confirmed to be a ticket evasion person, and the warning information is sent to the mobile terminal equipment and the command scenic spot command center. Scenic spot staff wears mobile terminal equipment to walk about or the shooting of stewing in visitor crowd, receives feedback information after, can handle on-the-spot rapidly to the evidence is retained at scenic spot command center. By utilizing the low-delay attribute of the 5G signal, field personnel can obtain feedback information within 1-2 seconds and process the feedback information in time, so that the blocking of tourists is avoided, the visiting mood of normal tourists is not influenced, and the satisfaction degree is improved.
The preferable scheme is as follows:
the scenic spot ticketing system is provided with an interface module. The cloud server is convenient for data transmission, and delay is avoided.
The feedback unit is one or any combination of a display unit, a sound production unit and an indicator light. The guest personal data, such as photos, age, behavior patterns, ticketing information, etc., may be displayed according to settings. The sound production unit or the indicator light realizes the prompt of feeding back information to the site.
The mobile terminal equipment is intelligent glasses.
The intelligent glasses comprise a head-mounted terminal, wherein a high-definition camera, lenses, a near-to-eye visual display screen, a VPU processor and an interface are arranged in the head-mounted terminal.
The mobile communication unit is a mobile phone, a tablet personal computer and/or a notebook computer.
The scenic spot ticketing system is connected with the face recognition cameras, and more than one face recognition cameras are arranged at the scenic spot tourist guest mouths. Both can adopt the original camera of scenic spot ticketing system, also can establish in addition as required, improve the precision of making a video recording, the follow-up face identification AI of being convenient for is compared.
The 5G network wireless comprises a mobile 5G network relay station. The network can be flexibly arranged at each scenic spot, particularly, scenic spots such as deep ditches can be solved, the networking cost is greatly reduced, and the flexibility is improved.
The utility model discloses an advantage and positive effect do: set up the monitor screen through scenic spot command center, communication device, high in the clouds server and mobile terminal equipment, the high in the clouds server, scenic spot command center and mobile terminal equipment are two liang through 5G network wireless connection between, realize high in the clouds server and face storehouse exchange data, extract from the face storehouse and brush face entering scenic spot visitor facial information, whether have the record in the face storehouse with mobile terminal equipment comparison human face that gathers, if do not record then judge the visitor of fleing for a bill, send warning information to mobile terminal equipment and command scenic spot command center.
Scenic spot removes law enforcement personnel and uses portable intelligent glasses terminal as the instrument, provides one can to the tall and erect client of ann of face identification in the visual field, and the backstage system provides one can be to the application service system of face identification data structured storage, management, the direct-viewing real-time understanding portrait recognition condition of scenic spot personnel, to work such as portrait discernment record management, off-line database management/propelling movement, user management/application upgrade management.
During the moving patrol process of the mobile law enforcement officer in the scenic spot, the mobile law enforcement officer can simply, conveniently and quickly operate the glasses to collect, identify, transmit the on-site video back and receive the prompt information of the background officer. The mobile law enforcement system can effectively manage the ticket evasion behavior by matching and comparing with the scenic spot ticketing system face library, and can also screen key personnel according to the user-defined face library.
Drawings
FIG. 1 is a schematic block diagram of an embodiment of the present invention;
FIG. 2 is a functional block diagram of the system of the present invention;
FIG. 3 is a schematic diagram of the principle and process of face recognition of the present invention;
fig. 4 is a schematic diagram of two application scenarios of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following description is made in detail for the application of the principles of the present invention with reference to the accompanying drawings.
Example 1:
as shown in fig. 1 and 2, a scenic spot ticket inspection system based on face AI identification comprises a scenic spot command center and a scenic spot ticketing system, wherein the scenic spot command center is provided with a monitoring screen and a communication device, and further comprises a cloud server and a mobile terminal device; the mobile terminal equipment comprises a portable camera unit, a feedback unit and a mobile communication unit; the cloud server is provided with a face AI identification module and is connected with a scenic spot ticketing system, and the scenic spot ticketing system is provided with a face library; the cloud server, the scenic spot command center and the mobile terminal device are in wireless connection through a 5G network.
The cloud server exchanges data with the face library, facial information of tourists who swipe faces and enter the scenic region is extracted from the face library, whether the collected faces are recorded in the face library or not is compared with the mobile terminal device, if the faces are not recorded, the tourists are judged to be ticket-evading, and warning information is sent to the mobile terminal device and the command center of the command scenic region. Scenic spot staff wears mobile terminal equipment to walk about or the shooting of stewing in visitor crowd, receives feedback information after, can handle on-the-spot rapidly to the evidence is retained at scenic spot command center. By utilizing the low-delay attribute of the 5G signal, field personnel can obtain feedback information within 3-5 seconds and process the feedback information in time, so that the blocking of tourists is avoided, the visiting mood of normal tourists is not influenced, and the satisfaction degree is improved.
On the system module, a basic layer, a data layer, a capability layer, a business layer and a presentation layer can be set according to functions.
A presentation layer: and displaying modes of the user mainly by using an android APP and a background PC WEB end.
And (4) a service layer: and by calling the platform capability of the lower layer, a plurality of service functions including ticket evasion prompt, authentication comparison, video return and the like are provided for the user.
A capacity layer: the method provides multiple service capabilities such as face detection, feature extraction and streaming media, and opens up a calling service for providing applications for a service layer. The face detection part adopts a dynamically expandable distributed structure and is matched with a data layer to manage a portrait base, and the portrait base comprises bottom-layer applications of portrait base creation, feature value extraction, portrait index and the like. And provides the service capabilities of portrait 1:1 comparison, portrait 1: N comparison, dynamic comparison and the like.
And (3) a data layer: the system has a face registry and a blacklist library, and performs data synchronization warehousing work with a face library of a scenic spot ticketing system through a face library synchronization interface module customized and developed by the project.
Base layer: computing resources, storage resources, network resources and other basic environments required by the operation of the application system.
And (3) system operation and maintenance management: the resource management, the user management, the service management and the operation and maintenance management of the system are realized, and the continuous and stable operation of the system is ensured.
The scenic spot ticketing system is provided with a blacklist library, and tourists or public security network pursuit suspects who flee for many times are set as blacklists, so that on-site patrol can be realized, and the on-site patrol can be disposed at the entrance of the scenic spot.
The scenic spot ticketing system is connected with the face recognition cameras, and more than one face recognition cameras are arranged at the positions of the scenic spot tourists. Both can adopt the original camera of scenic spot ticketing system, also can establish in addition as required, improve the precision of making a video recording, the follow-up face identification AI of being convenient for is compared.
The scenic spot ticketing system is provided with an interface module. The cloud server is convenient for data transmission, and delay is avoided.
The feedback unit is one of or any combination of a display unit, a sound production unit and an indicator light. The guest personal data, such as photos, age, behavior patterns, ticketing information, etc., may be displayed according to settings. The generating unit or the indicating lamp realizes the prompt of feeding back information to the site.
The mobile terminal equipment is intelligent glasses.
The intelligent glasses comprise a head-mounted terminal, wherein a high-definition camera, lenses, a near-to-eye visual display screen, a VPU processor and an interface are arranged in the head-mounted terminal.
The mobile communication unit is a mobile phone, a tablet computer and/or a notebook computer.
An example of the above functions can be realized by existing smart glasses, such as bright field GLXSS ME: display 640x400 resolution, 20 ° FOV (look and feel equivalent to a 22 inch screen at 1.5 meters); the processor Intel Movidius myread 2; camera 1300 ten thousand pixels, 1080P (USB3.0) or 720P (USB 2.0); interactive keys, gestures, voice, remote controller; interface USBType-C3.0/2.0; the photographing view angle camera module is rotatable to provide a depression angle of 35 ° at maximum. Connected with the mobile phone by a usb data line
According to the particularity of the domestic scenic spot, the performance requirements of the mobile terminal equipment can be set as follows:
1. the front-end acquisition equipment is not lower than 1300 ten thousand of pixel cameras, so that high-definition photographing and video recording can be realized;
2. the camera has the functions of glasses, and needs to support virtual focus detection and rapid focusing;
3. the visual field angle is not less than 20 degrees, so that near-to-eye visual display of information can be realized;
4. the built-in VPU processor with the image processing capability can realize complex data and image calculation;
5. the glasses can be directly connected with an android mobile phone in a wired mode, and the mobile phone is used as a host part of the glasses;
6. the angle support of the terminal camera is adjustable, and the adjustable angle range is not less than 35 degrees;
7. the equipment is designed in a split mode, and the weight of the head-mounted terminal is not higher than 35g, so that the long-time wearing experience requirement is met;
8. the equipment is completely made in China, has a domestic leading technology and has domestic independent intellectual property rights;
9. the maximum number of simultaneously detected human images is not less than 10.
As shown in fig. 3, the working principle is explained by taking the face recognition process as an example.
The face recognition function comprises face real-time comparison and historical query. The real-time comparison occurs in advance or in the process, and when the system finds that the ticket evasion or other key personnel appear, the duty personnel can quickly make a response; the historical query is to investigate important personnel afterwards, and the personnel information recorded by the system can be queried through suspicious personnel.
Real-time video face comparison: the face image stream of the face snapshot unit is subjected to face feature data extraction by a dynamic portrait algorithm under a face recognition server, is subjected to traversal comparison with a face feature database in a blacklist database in real time, and feeds back a comparison result of the platform each time.
And managing a human face library, wherein the system is designed based on a big data technology, and one person and one file record are established for each person in the person library. The method supports the addition, deletion, searching and searching of the static portrait base, supports the uploading of pictures in a single-sheet or batch mode when the pictures are added, and can check the information such as the ID, the name, the remarks, the number of the pictures, the number of the faces and the like of all the bases when the portrait base is inquired. All face images in the library can be queried through the face library management interface. Each image has information such as corresponding name, sex, age, identification card number and the like. The user can establish a portrait base according to actual requirements, upload the portrait base through a system client, extract the characteristics of each face, and store the face into the system for comparison and use of the portrait base.
The system can be expanded to set the following applications:
the user can automatically designate the blacklist personnel needing the system to alarm, and the system can deploy and control the people in the blacklist by establishing a blacklist library. The control face information comprises name, gender, birth date, province, city, certificate type and certificate number. The records of the snapshot and the alarm can be optionally stored in a database for later inquiry.
And (4) the control function support: a library of at least 30 ten thousand people can be deployed. And (4) controlling passers-by captured by the camera with delay less than 5 seconds. Different cameras can be configured with different control libraries. And for different distribution control libraries, different thresholds are adopted for alarming.
And (3) portrait retrieval, wherein a user uploads a face photo, point positions and time periods to be retrieved are selected, the system retrieves similar portraits in the records meeting the conditions, and the most similar n results are returned according to the similarity in a sequence from high to low. The system can record a group of photos and the attached population attribute information into a database, extract the characteristics of the photos and compare the characteristics with the photo characteristics in the database, and find out the identification number, name, age, name of the database and the warehousing photos of the passer, thereby realizing multiple investigation.
And comparing, identifying and alarming, wherein when the face image collected by the intelligent glasses is matched with the face data in the blacklist, if the face identification degree exceeds a preset alarm threshold value, the system can automatically give an alarm.
And (3) face feature retrieval, namely classifying the specific people with specific behavior features through image information in a real-time video. The system can identify the mouth attributes such as the age and the sex of passers-by, determine whether to have Liu Hai or not, determine whether to wear glasses or sunglasses, and provide useful statistical data and early warning information for relevant departments. The user can search for passers-by having the above characteristics for a certain period of time through the website.
And alarm management, which supports the user to search the historical alarm information generated in the snapshot place and search the snapshot time and the snapshot library. The related face alarm information comprises face pictures of related persons, alarm record occurrence places and alarm record occurrence time.
The system realizes real-time cooperation of audio and video at the first visual angle based on the intelligent glasses, supports the rear view of the video at the first visual angle, shares and communicates audio, pictures and characters, and meets the requirement of remote visualization emergency. The system adopts a cloud architecture technology, can support various network accesses, can adapt to various network environments, meets the requirements of various networks and various devices at any time and any place, and brings more scene applications.
The statistical analysis report supports real-time statistics according to the human image source, the human face attribute and the occurrence frequency captured by the camera; support and carry out historical statistics according to gender, age, whether wear glasses, whether long Liuhai, whether wear sunglasses.
And the system has a perfect and flexible authority control system, so that managers can conveniently and flexibly allocate system resources and function authorities to users of subordinate units according to actual combat requirements, and the overall performance and safety of the system are greatly guaranteed. The control dimension of the authority of the portrait library is divided into ten dimensions of visible dimension, retrieval dimension, portrait library picture dimension, portrait library information dimension, control dimension, label dimension, guide picture dimension, editing dimension, deleting dimension and new construction dimension.
And log management, wherein the system log is divided into a portrait retrieval log, a portrait library (operation) log, a export log, a login log and a permission granting log. Portrait retrieval Log: the user can record once when searching once. The retrieval times statistical chart of the direct personnel of the whole department and each retrieval record of each user can be checked, wherein the retrieval records comprise retrieval time, retrieval pictures, comparison pictures (marked with the same pictures) and the like. Portrait library (operations) log: and recording the operation records of all the portrait libraries, recording the operation of deleting pictures, deleting the whole library, editing names/identity card numbers, modifying library names and building the library. And (3) exporting the log: and recording a log of the user for exporting comparison results and exporting failed pictures in storage. Logging in a log: and recording the login time and the IP address of the user. Permission granting log: record of rights grant/retraction.
As shown in fig. 4, two exemplary application scenarios of the present system are shown.
Scenic spot mobile inspection scene: the tourists are collected by a, an intelligent terminal on-site image, b, the intelligent terminal returns a captured face to enter a scenic spot ticketing system, c1 and the scenic spot ticketing system send the face to a tourist face library, c2 and the tourist face library return tourist information and effectiveness information to the scenic spot ticketing system, d, the tourist information and the effectiveness information are returned, and the intelligent terminal prompts law enforcement personnel.
Scenic spot emergency command scene: b, a tourist initiates a communication application of a designated intelligent terminal to a scenic spot ticketing system by an intelligent terminal on-site image acquisition, b1 and a scenic spot ticketing center background command terminal, c1 initiates a communication application to the designated intelligent terminal, c2 and the designated intelligent terminal respond to the communication application, and b2 and the scenic spot ticketing system respond to the communication application; d. and the command terminal establishes multimedia communication with the intelligent terminal.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. The utility model provides a scenic spot ticket inspection system based on face AI discernment, includes scenic spot command center and scenic spot ticketing system, and scenic spot command center sets up monitor screen and communication device, its characterized in that: the system also comprises a cloud server and mobile terminal equipment;
the mobile terminal equipment comprises a portable camera unit, a feedback unit and a mobile communication unit;
the cloud server is provided with a face AI identification module and is connected with a scenic spot ticketing system, and the scenic spot ticketing system is provided with a face library;
the cloud server, the scenic spot command center and the mobile terminal device are in wireless connection through a 5G network.
2. The scenic spot ticket auditing system based on face AI identification according to claim 1, wherein the scenic spot ticketing system sets up a blacklist library.
3. The scenic spot ticket auditing system based on face AI identification according to claim 1, characterized in that the scenic spot ticketing system is provided with an interface module.
4. The scenic spot ticket auditing system based on face AI identification according to claim 1, characterized in that the feedback unit is one of or any combination of a display unit, a sound production unit and an indicator light.
5. The scenic spot ticket auditing system based on face AI identification according to claim 1, characterized in that the mobile terminal device is intelligent glasses.
6. The scenic spot ticket inspection system based on face AI identification as claimed in claim 5, wherein the intelligent glasses comprise a head-mounted terminal, and a high definition camera, a lens, a near-to-eye visual display screen, a VPU processor and an interface are arranged in the head-mounted terminal.
7. The scenic spot ticket inspection system based on face AI identification as claimed in claim 1, wherein the mobile communication unit is a mobile phone, a tablet computer and/or a notebook computer.
8. The scenic spot ticket auditing system based on face AI identification of claim 1, wherein the scenic spot ticketing system is connected with face recognition cameras, more than one number of which are arranged at scenic spot trip guest mouths.
9. The scenic spot ticket auditing system based on face AI identification of claim 1, wherein the 5G network wireless includes a mobile 5G network relay station.
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| CN201922083068.1U CN210515326U (en) | 2019-11-26 | 2019-11-26 | Scenic spot ticket inspection system based on face AI recognition |
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| CN201922083068.1U CN210515326U (en) | 2019-11-26 | 2019-11-26 | Scenic spot ticket inspection system based on face AI recognition |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596764A (en) * | 2020-05-18 | 2020-08-28 | 周庆博 | AR glasses face recognition system and method based on android system |
| CN111695538A (en) * | 2020-06-17 | 2020-09-22 | 杭州海康威视系统技术有限公司 | Illegal invader detection method, device and readable storage medium |
| CN112785726A (en) * | 2020-12-31 | 2021-05-11 | 杭州滨雅科技有限公司 | Wisdom scenic spot management system |
| CN113780173A (en) * | 2021-09-10 | 2021-12-10 | 黄河水利职业技术学院 | Face recognition system and recognition method |
-
2019
- 2019-11-26 CN CN201922083068.1U patent/CN210515326U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596764A (en) * | 2020-05-18 | 2020-08-28 | 周庆博 | AR glasses face recognition system and method based on android system |
| CN111695538A (en) * | 2020-06-17 | 2020-09-22 | 杭州海康威视系统技术有限公司 | Illegal invader detection method, device and readable storage medium |
| CN112785726A (en) * | 2020-12-31 | 2021-05-11 | 杭州滨雅科技有限公司 | Wisdom scenic spot management system |
| CN112785726B (en) * | 2020-12-31 | 2022-06-24 | 浙江滨雅数智信息产业有限公司 | Intelligent scenic spot management system |
| CN113780173A (en) * | 2021-09-10 | 2021-12-10 | 黄河水利职业技术学院 | Face recognition system and recognition method |
| CN113780173B (en) * | 2021-09-10 | 2023-09-22 | 黄河水利职业技术学院 | Face recognition system and recognition method |
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