CN113129498A - Face recognition method and system based on intelligent scenic spot - Google Patents
Face recognition method and system based on intelligent scenic spot Download PDFInfo
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- CN113129498A CN113129498A CN202110663615.2A CN202110663615A CN113129498A CN 113129498 A CN113129498 A CN 113129498A CN 202110663615 A CN202110663615 A CN 202110663615A CN 113129498 A CN113129498 A CN 113129498A
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- 238000013468 resource allocation Methods 0.000 abstract 1
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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
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
Abstract
The invention relates to the technical field of computers, and discloses a face recognition method and a face recognition system based on an intelligent scenic spot, which are used for improving the face recognition efficiency of a gate machine in the scenic spot, ensuring the consistency of tickets and meeting the resource sharing requirements of other applications. The method comprises the following steps: the face image data of the scattered tourists and the group tourists are stored in different databases, image comparison processing is carried out by different servers, key attribute information of the tourists is obtained through interaction of the gate and the ticket server, and the accuracy of data forwarding of the gate according to different attributes of the tourists is ensured; meanwhile, the forwarded data packet carries the identity label information acquired from the ticketing server, so that an accurate basis is provided for quickly retrieving a reference image for comparison from a database; and bridging of the metering server between the second server and each resource subsystem based on face recognition improves the intelligence of scenic spot resource allocation and improves the utilization rate of the second server and the second database.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a face recognition method and system based on an intelligent scenic spot.
Background
Currently, face recognition is widely applied to scenes such as high-speed rail station entrance and exit. With the updating of the intelligent scenic spot, the face recognition is also introduced into the daily management of the intelligent scenic spot.
In an intelligent scenic spot, people flow in front of a gate machine in the scenic spot is most concentrated, and particularly, congestion is easily formed in holidays. And with the prevention and control requirements of infectious diseases such as new crown epidemic situation, the ticket buying through the real name system and the guarantee of the consistency of the tickets in the playing process are already definite requirements. Therefore, how to improve the face recognition efficiency of the gate machine in the scenic spot, ensure the consistency of the tickets and consider the resource sharing requirements of other applications becomes a problem to be solved urgently.
Disclosure of Invention
The invention aims to disclose a face recognition method and a face recognition system based on an intelligent scenic spot, so as to improve the face recognition efficiency of a gate machine in the scenic spot, ensure the consistency of tickets and give consideration to the resource sharing requirements of other applications.
In order to achieve the above object, the present invention discloses a face recognition method based on intelligent scenic spot, comprising:
the method comprises the steps that a first server and a second server for face data comparison are deployed at a cloud end, the first server is connected with a first database, the first database is used for storing face image data for comparison of scattered tourists, the second server is connected with a second database, and the second database is used for storing face image data for comparison of group tourists; a ticketing server is deployed at the cloud end, is connected with gate machines of the scenic spot and is used for generating ticketing information corresponding to the tourists, and the ticketing information carries tag information of real names of the tourists and attributes of the tourists belonging to the scattered tourists or group tourists or attribute marks of the tourists belonging to the group; the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist;
two checkpoints are arranged on each gate machine in the scenic spot, and the first checkpoint is used for interacting with the ticketing server to verify whether the ticket information or the order information held by the tourists is valid; if the visitor real-name system is valid, extracting the tag information of the visitor real-name system and the attribute marks of the affiliated scattered visitors or the attribute marks of the group visitors, and then opening the first barrier to place the visitor into a gate channel and collecting the face image data of the visitor;
if the tourists are scattered tourists, the gate machine corresponding to the scenic spot sends the tag information of the tourists in the real name system and the acquired face image data to the first server, the first server reads the face image data from the first database according to the tag information of the tourists in the real name system for similarity comparison, and if the similarity is higher than a set threshold value, the scattered tourists are judged to be consistent in ticket information and a second gate card is opened; if the group guest is the group guest, the gate machine corresponding to the scenic spot sends the tag information of the guest in the real name system and the acquired face image data to the second server, the second server reads the face image data from the second database according to the tag information of the guest in the real name system to carry out proximity comparison, and if the proximity is higher than a set threshold value, the group guest ticket information is judged to be consistent and a second barrier is opened;
the method further comprises the following steps:
deploying a metering server connected with each resource subsystem based on face recognition at a cloud end to perform resource reservation on group visitors according to groups, and establishing a data channel between the metering server and the second server; the ticket counting server is also connected with the ticket service server to realize booking of entrance tickets according to groups;
and the resource subsystems based on face recognition collect face image data of the tourists, the face image data are forwarded to the second server through the metering server, then the second server performs face image data comparison in a traversing mode in the second database, and comparison results are returned to the resource subsystems to perform corresponding admission, control or forbidding actions.
Optionally, the resource subsystem connected to the scheduling server includes: the intelligent dining system comprises a smart hotel subsystem, a smart expansion subsystem, a smart dining subsystem and a smart evening subsystem.
Preferably, each resource subsystem based on face recognition collects face image data of the tourists only in the use period of the resources preset by the scheduling server.
In order to achieve the above object, the present invention further discloses a face recognition system based on intelligent scenic spot, comprising:
the system comprises a first server and a second server which are deployed at the cloud end and used for comparing face data, wherein the first server is connected with a first database, the first database is used for storing face image data for comparing scattered tourists, the second server is connected with a second database, and the second database is used for storing face image data for comparing group tourists;
the ticket server is connected with gate machines of the scenic spot and deployed at the cloud end, and is used for generating ticket information corresponding to the tourists, wherein the ticket information carries tag information of the real names of the tourists and attributes of the scattered tourists or group tourists to which the tourists belong; the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist;
the gate machines are arranged at gates of the scenic spot and are provided with two gates and used for setting a first gate to interactively verify whether ticket information or order information held by the tourists is valid or not with the ticketing server; if the guest name information is valid, extracting tag information of the guest real name system and attribute marks of the affiliated customers in a scattered way or group, then opening the first barrier to place the guest into a gate channel and collect the face image data of the guest, and then executing different processing according to the following two different conditions:
if the tourists are scattered tourists, sending the label information of the real name system of the tourists and the acquired face image data to the first server, reading the face image data from the first database by the first server according to the label information of the real name system of the tourists for comparing the similarity, and if the similarity is higher than a set threshold value, judging that the scattered tourists ticket information is consistent and opening a second gate; if the group guest is the group guest, the tag information of the real name system of the guest and the collected face image data are sent to the second server, then the second server reads the face image data from the second database according to the tag information of the real name system of the guest for comparing the similarity, if the similarity is higher than a set threshold value, the group guest ticket information is judged to be consistent, and a second pass gate is opened;
the system further comprises:
deploying a metering server connected with each resource subsystem based on face recognition at a cloud end to perform resource reservation on group visitors according to groups, and establishing a data channel between the metering server and the second server; the ticket counting server is also connected with the ticket service server to realize booking of entrance tickets according to groups;
the scheduling server is used for forwarding the face image data of the tourists acquired by the resource subsystems based on the face recognition to the second server, then the second server performs face image data comparison in a traversing mode in the second database, and returns comparison results to the resource subsystems to perform corresponding admission, control or forbidding actions.
The invention has the following beneficial effects:
on one hand, the face image data of the scattered tourists and the group tourists are stored in different databases, and image comparison processing is carried out by different servers, so that the labor division is clear, the working processing flow is orderly, and the stability and the reliability of the system are ensured. Moreover, key attribute information of the tourists is obtained through interaction between the gate and the ticket server, so that the accuracy of data forwarding between the first server and the second server according to different attributes of the tourists by the gate is ensured; meanwhile, identity tag information acquired from the ticketing server is carried in the forwarded data packet, so that an accurate basis is provided for the first server or the second server at the cloud to quickly retrieve reference images for comparison from the database.
On the other hand, the intelligent scenic spot resource configuration is improved, the utilization rate of the second server and the second database is improved, and the manpower is saved through bridging of the metering server between the second server and each resource subsystem based on the face recognition.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a frame diagram of a face recognition system based on intelligent scenic spots in accordance with a preferred embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
The present embodiment discloses a face recognition system based on intelligent scenic spot, as shown in fig. 1, including:
the system comprises a first server and a second server which are deployed at the cloud end and used for comparing face data, wherein the first server 2 is connected with a first database 3, the first database is used for storing face image data for comparing scattered tourists, the second server 4 is connected with a second database 5, and the second database is used for storing face image data for comparing group tourists.
The ticketing server 6 is connected with each gate machine 1 in the scenic spot and deployed at the cloud end, and is used for generating ticketing information corresponding to tourists, wherein the ticketing information carries tag information of the real name of the tourists and attributes of scattered tourists or group tourists to which the tourists belong; and the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist.
The gate machines are arranged at gates of the scenic spot and are provided with two gates and used for setting a first gate to interactively verify whether ticket information or order information held by the tourists is valid or not with the ticketing server; if the guest name information is valid, extracting tag information of the guest real name system and attribute marks of the affiliated customers in a scattered way or group, then opening the first barrier to place the guest into a gate channel and collect the face image data of the guest, and then executing different processing according to the following two different conditions:
if the tourists are scattered tourists, sending the label information of the real name system of the tourists and the acquired face image data to the first server, reading the face image data from the first database by the first server according to the label information of the real name system of the tourists for comparing the similarity, and if the similarity is higher than a set threshold value, judging that the scattered tourists ticket information is consistent and opening a second gate; and if the group guest is the group guest, sending the tag information of the guest real name system and the collected face image data to the second server, reading the face image data from the second database by the second server according to the tag information of the guest real name system for comparing the similarity, and if the similarity is higher than a set threshold value, judging that the group guest ticket information is consistent and opening a second pass gate.
The system further comprises: deploying a metering server 7 connected with each resource subsystem based on face recognition at the cloud end to perform resource reservation on group visitors according to groups, and establishing a data channel between the metering server and the second server; the charging server is also connected with the ticket service server to realize booking of entrance tickets according to groups. Optionally, the resource subsystem connected to the scheduling server includes: the system comprises a smart hotel subsystem, a smart expansion subsystem, a smart catering subsystem and a smart evening subsystem; the system is respectively used for automatic reservation and allocation of hotels, expansion, catering and evening parties, account and order management and the like.
In this embodiment, the scheduling server is configured to forward the facial image data of the tourists collected by each resource subsystem based on face recognition to the second server, and then the second server performs facial image data comparison in the second database in a traversal manner, and returns a comparison result to each resource subsystem to perform corresponding admission, control or prohibition actions.
Preferably, each resource subsystem based on face recognition collects face image data of the tourists only in the use period of the resources preset by the scheduling server. Therefore, waste under certain specific scenes can be avoided, for example, when a corresponding tourist does not live yet, if the corresponding intelligent terminal is started by misoperation caused by other workers in activities such as cleaning and the like, image acquisition is carried out on cleaning personnel and the images are sent to the cloud server, and then resource waste of network transmission resources, the second server and the second database can be caused. Generally, in order to avoid similar resource waste, some protection measures such as a power management switch needing to be manually pressed before the corresponding intelligent terminal starts image acquisition can be set.
Example 2
Corresponding to the above system, the present embodiment discloses a face recognition method based on intelligent scenic spot, which includes:
step S1, deploying a first server and a second server for comparing face data at a cloud end, wherein the first server is connected with a first database, the first database is used for storing face image data for comparing the face data with the scattered tourists, the second server is connected with a second database, and the second database is used for storing face image data for comparing the face image data with the group tourists; a ticketing server is deployed at the cloud end, is connected with gate machines of the scenic spot and is used for generating ticketing information corresponding to the tourists, and the ticketing information carries tag information of real names of the tourists and attributes of the tourists belonging to the scattered tourists or group tourists or attribute marks of the tourists belonging to the group; and the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist.
Step S2, setting two checkpoints on each gate machine in the scenic spot, wherein the first checkpoint is used for interacting with the ticketing server to verify whether the ticket information or the order information held by the tourists is valid; if the visitor real-name system is valid, extracting the tag information of the visitor real-name system and the attribute marks of the affiliated scattered visitors or the attribute marks of the group visitors, and then opening the first barrier to place the visitor in a gate channel and collecting the face image data of the visitor.
Step S3, if the tourists are scattered tourists, the gate machine corresponding to the scenic spot sends the tag information of the real name of the tourists and the acquired face image data to the first server, the first server reads the face image data from the first database according to the tag information of the real name of the tourists for similarity comparison, and if the similarity is higher than a set threshold value, the scattered tourists are judged to have consistent ticket information and a second gate card is opened; if the group guest is the group guest, the gate machine corresponding to the scenic spot sends the tag information of the guest in the real name system and the collected face image data to the second server, the second server reads the face image data from the second database according to the tag information of the guest in the real name system to carry out proximity comparison, and if the proximity is higher than a set threshold value, the group guest ticket information is judged to be consistent and a second barrier is opened.
The method further comprises the following steps:
step S4, deploying a scheduling server connected with each resource subsystem based on face recognition at the cloud end to schedule the group tourists with resources according to groups, and establishing a data channel between the scheduling server and the second server; the charging server is also connected with the ticket service server to realize booking of entrance tickets according to groups.
And step S5, collecting facial image data of the tourists by each resource subsystem based on face recognition, forwarding the facial image data to the second server through the metering server, then performing facial image data comparison in a traversing mode in the second database by the second server, and returning comparison results to each resource subsystem to perform corresponding access, control or forbidding actions.
Similarly, the resource subsystem connected to the scheduling server includes but is not limited to: the intelligent dining system comprises a smart hotel subsystem, a smart expansion subsystem, a smart dining subsystem and a smart evening subsystem. Furthermore, each resource subsystem based on the face recognition collects the face image data of the tourists only in the use period of the resources preset by the metering server.
In summary, the face recognition method and system based on intelligent scenic spots disclosed in the embodiments of the present invention at least have the following advantages:
on one hand, the face image data of the scattered tourists and the group tourists are stored in different databases, and image comparison processing is carried out by different servers, so that the labor division is clear, the working processing flow is orderly, and the stability and the reliability of the system are ensured. Moreover, key attribute information of the tourists is obtained through interaction between the gate and the ticket server, so that the accuracy of data forwarding between the first server and the second server according to different attributes of the tourists by the gate is ensured; meanwhile, identity tag information acquired from the ticketing server is carried in the forwarded data packet, so that an accurate basis is provided for the first server or the second server at the cloud to quickly retrieve reference images for comparison from the database.
On the other hand, the intelligent scenic spot resource configuration is improved, the utilization rate of the second server and the second database is improved, and the manpower is saved through bridging of the metering server between the second server and each resource subsystem based on the face recognition.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A face recognition method based on an intelligent scenic spot is characterized by comprising the following steps:
the method comprises the steps that a first server and a second server for face data comparison are deployed at a cloud end, the first server is connected with a first database, the first database is used for storing face image data for comparison of scattered tourists, the second server is connected with a second database, and the second database is used for storing face image data for comparison of group tourists; a ticketing server is deployed at the cloud end, is connected with gate machines of the scenic spot and is used for generating ticketing information corresponding to the tourists, and the ticketing information carries tag information of real names of the tourists and attributes of the tourists belonging to the scattered tourists or group tourists or attribute marks of the tourists belonging to the group; the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist;
two checkpoints are arranged on each gate machine in the scenic spot, and the first checkpoint is used for interacting with the ticketing server to verify whether the ticket information or the order information held by the tourists is valid; if the visitor real-name system is valid, extracting the tag information of the visitor real-name system and the attribute marks of the affiliated scattered visitors or the attribute marks of the group visitors, and then opening the first barrier to place the visitor into a gate channel and collecting the face image data of the visitor;
if the tourists are scattered tourists, the gate machine corresponding to the scenic spot sends the tag information of the tourists in the real name system and the acquired face image data to the first server, the first server reads the face image data from the first database according to the tag information of the tourists in the real name system for similarity comparison, and if the similarity is higher than a set threshold value, the scattered tourists are judged to be consistent in ticket information and a second gate card is opened; if the group guest is the group guest, the gate machine corresponding to the scenic spot sends the tag information of the guest in the real name system and the acquired face image data to the second server, the second server reads the face image data from the second database according to the tag information of the guest in the real name system to carry out proximity comparison, and if the proximity is higher than a set threshold value, the group guest ticket information is judged to be consistent and a second barrier is opened;
the method further comprises the following steps:
deploying a metering server connected with each resource subsystem based on face recognition at a cloud end to perform resource reservation on group visitors according to groups, and establishing a data channel between the metering server and the second server; the ticket counting server is also connected with the ticket service server to realize booking of entrance tickets according to groups;
and the resource subsystems based on face recognition collect face image data of the tourists, the face image data are forwarded to the second server through the metering server, then the second server performs face image data comparison in a traversing mode in the second database, and comparison results are returned to the resource subsystems to perform corresponding admission, control or forbidding actions.
2. The method of claim 1, wherein the resource subsystem coupled to the metering server comprises:
the intelligent dining system comprises a smart hotel subsystem, a smart expansion subsystem, a smart dining subsystem and a smart evening subsystem.
3. The method of claim 1 or 2, wherein each resource subsystem based on face recognition only collects face image data of the guest during a period of use of a resource predetermined by the metering server.
4. A face recognition system based on wisdom scenic spot which characterized in that includes:
the system comprises a first server and a second server which are deployed at the cloud end and used for comparing face data, wherein the first server is connected with a first database, the first database is used for storing face image data for comparing scattered tourists, the second server is connected with a second database, and the second database is used for storing face image data for comparing group tourists;
the ticket server is connected with gate machines of the scenic spot and deployed at the cloud end, and is used for generating ticket information corresponding to the tourists, wherein the ticket information carries tag information of the real names of the tourists and attributes of the scattered tourists or group tourists to which the tourists belong; the data storage structures of the first database and the second database store tag information corresponding to the real name system of the tourist;
the gate machines are arranged at gates of the scenic spot and are provided with two gates and used for setting a first gate to interactively verify whether ticket information or order information held by the tourists is valid or not with the ticketing server; if the guest name information is valid, extracting tag information of the guest real name system and attribute marks of the affiliated customers in a scattered way or group, then opening the first barrier to place the guest into a gate channel and collect the face image data of the guest, and then executing different processing according to the following two different conditions:
if the tourists are scattered tourists, sending the label information of the real name system of the tourists and the acquired face image data to the first server, reading the face image data from the first database by the first server according to the label information of the real name system of the tourists for comparing the similarity, and if the similarity is higher than a set threshold value, judging that the scattered tourists ticket information is consistent and opening a second gate; if the group guest is the group guest, the tag information of the real name system of the guest and the collected face image data are sent to the second server, then the second server reads the face image data from the second database according to the tag information of the real name system of the guest for comparing the similarity, if the similarity is higher than a set threshold value, the group guest ticket information is judged to be consistent, and a second pass gate is opened;
the system further comprises:
deploying a metering server connected with each resource subsystem based on face recognition at a cloud end to perform resource reservation on group visitors according to groups, and establishing a data channel between the metering server and the second server; the ticket counting server is also connected with the ticket service server to realize booking of entrance tickets according to groups;
the scheduling server is used for forwarding the face image data of the tourists acquired by the resource subsystems based on the face recognition to the second server, then the second server performs face image data comparison in a traversing mode in the second database, and returns comparison results to the resource subsystems to perform corresponding admission, control or forbidding actions.
5. The system of claim 4, wherein the resource subsystem coupled to the metering server comprises:
the intelligent dining system comprises a smart hotel subsystem, a smart expansion subsystem, a smart dining subsystem and a smart evening subsystem.
6. The system of claim 4 or 5, wherein each resource subsystem based on face recognition only collects face image data of the guest during a period of use of the resource predetermined by the metering server.
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| CN107633558A (en) * | 2017-09-12 | 2018-01-26 | 浙江网新电气技术有限公司 | A kind of self-service ticket checking method and equipment based on portrait Yu identity card matching identification |
| CN108053499A (en) * | 2017-12-22 | 2018-05-18 | 新昌县吉利标准件厂 | Prevent monitoring device of stealing a ride in a kind of scenic spot |
| CN111599062A (en) * | 2019-02-03 | 2020-08-28 | 阿里巴巴集团控股有限公司 | Ticket information processing method, device and system |
| CN110148025A (en) * | 2019-05-22 | 2019-08-20 | 郑州智通互联电子有限公司 | A kind of scenic spot intelligence ticket sale system based on big data |
| CN111524242A (en) * | 2020-04-15 | 2020-08-11 | 福建九天达信息科技股份有限公司 | Ticket business system for swiping face to enter park in travel industry and use method thereof |
| CN112052733A (en) * | 2020-07-31 | 2020-12-08 | 中国建设银行股份有限公司 | Database construction method, face recognition device and electronic equipment |
| CN112562126A (en) * | 2020-11-19 | 2021-03-26 | 成都中科大旗软件股份有限公司 | Real-name team time-sharing reservation ticket booking method |
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Application publication date: 20210716 |