CN213241249U - Railway station six-in-one passenger real-name system verification system based on artificial intelligence - Google Patents
Railway station six-in-one passenger real-name system verification system based on artificial intelligence Download PDFInfo
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Abstract
The utility model discloses a railway station six-in-one passenger real-name system checking system based on artificial intelligence, which comprises a biological information acquisition system, a real-name authentication ticket checking system, a portrait comparison system and a personnel control alarm system; the biological information acquisition system comprises a portrait snapshot system, a fingerprint collector and an iris collector, and the devices are respectively and correspondingly arranged on channels of a ticket selling port, a security inspection port, a ticket checking port, a carriage port and a station exit port. The utility model discloses increase the identification technology of fingerprint and iris on the basis of current verification system to increase check out test set in getting into the station and the stroke of boarding the train, realize that railway station face, certificate, railway ticket, platform, carriage, the mouth of leaving the station all have check out test set, realize six systems of closing a verification, in order to improve station management level, promote verification efficiency and accuracy, experience for the passenger provides high-efficient, accurate, convenient personnel authentication.
Description
Technical Field
The utility model relates to a real name system of verifying technical field especially relates to a six unification passenger real name systems of verifying system in railway station based on artificial intelligence.
Background
The rapid development of railways adds new power to the economic development of China, but in the operation of railways, the railway system has the characteristics of highly centralized personnel and goods, rapid flowing, large space-time transformation, complex and variable environment, large social influence and the like, objectively and widely distributed railway lines, and the strength of a safety precaution system is not only a key guarantee for maintaining the railway lines, but also an important guarantee for social safety guarantee.
In order to really strengthen the anti-terrorist and anti-riot work of railway stations and high-speed rail stations and ensure the safety of passenger transportation, the railway department implements real-name ticket system of all passenger trains in China from the beginning of the year 2012. The real-name system of the train ticket refers to a system that passengers need to register and check the real name and identity of the passengers when buying the train ticket and taking the train. The real-name system is implemented, thereby being convenient for the public security organization to timely investigate the illegal criminals hidden in the passengers and enhancing the management capability of the society, particularly the railway security. The real-name system of the train ticket can also prevent, control and attack the theft, robbery, killing, explosion, poison selling and the like of the passenger property on the train station, and plays a role in personal safety guarantee and riding management.
However, the traditional real-name system of the train ticket is to manually check whether the testimony of the person is consistent or not and to systematically check the testimony of the person. The inspection personnel judge whether the ID card is true or false and whether security key personnel through the mode that uses the ID card to check the appearance and combine public security off-line terminal, when accepting the inspection, accept the inspection personnel and give the ID card to the inspection personnel earlier, whether the inspection personnel compare the picture on the ID card and the people before hand unanimous, then put the ID card and examine true or false on the machine. Manual inspection is time and labor consuming.
In addition, people check whether the testimony is uniform or not manually, and omission may exist. The photos in the second generation of identity cards are mostly photos taken in the early stage, and have certain changes compared with the current appearances. For example, the change of the size of the person or the change of the hair style may cause the difference between the photos of the person and the identity card. Because the appearance and the like are changed, the difference between the system photo and the actual appearance is larger, and the station verification personnel do not undergo professional training of certificate recognition, so the difficulty of testimony consistency verification is larger. In this regard, it is sometimes difficult to compare by manual inspection. The station needs to arrange personnel to perform the real-name system check work of entering the station in a shift, so as to meet the business requirement of executing the real-name system check, which consumes a great amount of manpower. Moreover, visual fatigue is easily caused by the manual check of a large number of passengers on the station for a long time by inspectors, and the judgment capability is reduced.
With the development of the technology, in order to further deepen the real-name system of the railway ticket, the face recognition technology introduces a railway real-name system station-entering verification system, so that the real-name ticket checking efficiency is improved, and support is provided for railway safety guarantee. After the face recognition technology introduces a railway real-name system station-entering verification system, the technological level of the railway industry is greatly improved.
The existing train ticket real-name system and face recognition system introduced into the railway real-name system station check system has great utility for anti-terrorism and anti-pathogen safety, but the whole check system has the following defects:
(1) the collected information is single. The existing real-name system of the train ticket adopts a method of reading certificates such as an identity card and the like to acquire real-name system information of a ticket buyer, which can not solve the problem of buying the ticket by using false certificates and can not acquire real identity information of a passenger.
(2) The authentication means is single. On the one hand, the existing train ticket real-name system only collects information through certificates such as identity cards and the like, and the mode of comparing the same public security network data with the same public security network data can not be adopted to confirm the authenticity of the certificates, so that the conditions of using fake certificates or overdue certificates exist.
(3) The verification link is single (the key problem is). The verification link is single, and the full-flow dynamic real-name system management cannot be realized. The existing real-name check of the train ticket only checks the identity of a ticket buyer at a ticket buying window and a security check place, only solves the problem of real-name check of a source and the security check place, but cannot solve the problems of changing a platform, changing the train number or the same platform and different train numbers by falsely using the identity of other people, getting off in advance or getting off in the midway, and the like. Therefore, once a passenger enters the waiting hall from the security inspection port, the passenger can exchange tickets with other people, take a train by falsely using the identity of other people, and get off the train in advance or through the station, so that the real-time track of the passenger cannot be monitored.
(4) The transmission mode is single. The real-name system of the existing transportation means is used for ticket checking in a fixed station mode, real-name authentication cannot be effectively carried out in the station entering process, and although the existing stations always keep the uniformity of imports, the situation of careless omission cannot be avoided.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a six unification passenger real name system verification systems in railway station based on artificial intelligence can be for on the basis of traditional information verification system, increase a plurality of passenger discernment and judge the device, through filing same passenger to realized carrying out automatic testimony of a witness unanimous and differentiateing, personnel identity verification, improved and checked the rate of accuracy and clearance efficiency and rate of accuracy.
The utility model adopts the technical proposal that:
a railway station six-in-one passenger real-name system verification system based on artificial intelligence comprises a biological information acquisition system, a real-name authentication ticket checking system, a portrait comparison system and a personnel control and alarm system, wherein the biological information acquisition system is used for being arranged at a plurality of point positions in a station;
the biological information acquisition system comprises a video portrait snapshot system for shooting a face image, a fingerprint collector for collecting figure fingerprint information and an iris collector for collecting figure iris information, and the devices are respectively and correspondingly arranged on channels of a ticket selling port, a security inspection port, a ticket inspection port, a carriage port and a departure port;
the output ends of the biological information acquisition system and the real-name authentication ticket checking system are connected with the input end of the portrait comparison system, and the output end of the portrait comparison system is connected with the personnel control alarm system;
the portrait comparing system comprises a portrait modeling module, a portrait comparing module, a portrait early warning module and a portrait clustering module, wherein the output end of the portrait modeling module is connected with the input end of the portrait comparing module, the output end of the portrait comparing module is respectively connected with the input ends of the portrait early warning module and the portrait clustering module, and the portrait clustering module is used for formulating the information of the same person into a file.
The mobile terminal is used for collecting, transmitting, checking and comparing data through wireless communication.
The video portrait capturing system adopts a Haikangwei vision face capturing machine DS-2CD7027FWD/F- (A).
The fingerprint collector adopts ZKFS 300.
The IRIS collector adopts WLH-IRIS-JD 7.
The utility model discloses increase the identification technology of fingerprint and iris on the basis of current verification system to increase check out test set in getting into the station and the stroke of boarding the train, realize that railway station face, certificate, railway ticket, platform, carriage, the mouth of leaving the station all have check out test set, realize six systems of closing a verification, in order to improve station management level, promote verification efficiency and accuracy, experience for the passenger provides high-efficient, accurate, convenient personnel authentication.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the utility model comprises a biological information collection system arranged at a plurality of points in the station, a real-name authentication ticket-checking system, a portrait comparison system for storing and processing the captured picture information, and a personnel control alarm system for alarming;
the biological information acquisition system comprises a video portrait snapshot system for shooting a face image, a fingerprint collector for collecting figure fingerprint information and an iris collector for collecting figure iris information, and the devices are respectively and correspondingly arranged on channels of a ticket selling port, a security inspection port, a ticket inspection port, a carriage port and a departure port; the biological information acquisition system has the access capability of various face acquisition devices, such as an identity card reader, a common USB camera face snapshot device, a personnel card port camera and the like;
the output ends of the biological information acquisition system and the real-name authentication ticket checking system are connected with the input end of the portrait comparison system, and the output end of the portrait comparison system is connected with the personnel control alarm system;
the portrait comparing system comprises a portrait modeling module, a portrait comparing module, a portrait early warning module and a portrait clustering module, wherein the output end of the portrait modeling module is connected with the input end of the portrait comparing module, the output end of the portrait comparing module is respectively connected with the input ends of the portrait early warning module and the portrait clustering module, and the portrait clustering module is used for formulating the information of the same person into a file; the files can be used for archiving the face photos captured randomly without manual intervention, so that one-person-one files are formed; the portrait photos of everyone in one person and one file can be put in different postures, different illumination, different expressions, the portrait photos with the sheltered faces such as a mask, a glasses, a scarf, a mobile phone and a mouth cover, and the check and the use in the later period are facilitated.
The portrait contrast system can realize monitoring key personnel and help improve the speed of passing of railway station people, ticket, the integration of certificate, realize that the module can adopt video monitoring shared platform and video image information application system, connect the video monitoring who docks the station among the practical application, be for real time monitoring everyone in the real-time dynamic of station and railway carriage, still can do the support for emergency.
The mobile terminal can utilize mobile terminals such as a mobile phone and the like to carry out work such as data acquisition, transmission, verification, comparison and the like, real-time looking up, correction and the like of monitoring data can be well and remotely realized through the arrangement of the mobile terminal, so that the data transmission is not limited to a field, and remote operation can be carried out.
The video portrait capturing system adopts a Haikangwei vision face capturing machine DS-2CD7027FWD/F- (A). The fingerprint collector adopts ZKFS300, the distortion rate is less than 1 percent, and the false recognition rate is less than 0.0001 percent. The IRIS collector integrates the functions of IRIS collection and IRIS recognition by adopting WLH-IRIS-JD 7.
The utility model discloses at first in practical application five pass ", implement six and one and verify. The following measures are implemented at five gateways, namely a ticket selling port, a security inspection port, a ticket checking port, a carriage port and a station exit port. Firstly, collecting the biological characteristic information of human face, fingerprint, iris and the like and the data of ID card information and the like, and comparing and verifying the data with the data in the portrait comparison system. Secondly, the collected data are analyzed by utilizing technologies such as a biological characteristic recognition algorithm (recognition algorithms such as human faces, irises, fingerprints and the like) based on artificial intelligence, a big data analysis algorithm and the like. Finally, the consistency of six information such as biological characteristics of the faces of passengers, identity cards, tickets, ticket gates (platforms), carriages, exit gates and the like is realized, namely a six-in-one system. The defects that passengers pretend to use other people, enter wrong ticket gates, go up wrong train numbers or correct ticket gates, go up wrong train numbers and the like in the existing train real-name system are blocked, and the emergency handling capacity of the train station is improved.
The video portrait snapshot system takes a snapshot of a passenger at a security check site, and the identity card reader reads an identity card picture stored in the second-generation identity card for verification; the ticket checking department, the carriage port and other places do not need to brush identity cards, only take a candid photograph of passengers, compare the candid photograph with the portrait taken by the security checking department, complete the verification of whether the same person is, inform the result information to the operator in a loudspeaker or screen caption prompting mode, or transmit the result information to the handheld terminal of security guard and police in a wired or wireless mode. And simultaneously transmitting the related information to a background archive. Meanwhile, the system sends the collected face photos and the collected identity card photos to a background of the portrait comparison system, compares the face photos and the identity card photos with the specific distributed crowd one by one, and carries out alarm prompt or records on case if the face photos and the identity card photos are found to be special persons; the collected face photos automatically establish one person for one file in the background for subsequent big data analysis.
Based on the established portrait file, the big data analysis can be quickly, accurately and conveniently carried out, and the big data application is realized, such as the functions of personnel track analysis, personnel management in a station, important person early warning, group concerned management and control, analysis of pedestrians, major group event early warning and the like. The creation of public security business mode of 'finding people with images' and 'arriving at a case by people' is realized, so the portrait file of the utility model can provide solid data base for a series of later-stage applications.
The collected dynamic data is clustered and filed by using a portrait system, so that portrait files are established, each file is labeled and is associated with other personnel information databases, and the dynamic track of personnel is mastered in real time, namely, the dynamic track is one person and one file. The current "one person one file" system mainly analyzes based on face data, and records a person who enters the county from a certain time through a group of pictures. As long as the system is shot by cameras at different time and places, the system automatically identifies the identity of the system and files the system person by person.
In practical application, the picture files in the portrait comparison system can be associated with multidimensional data such as personnel identity information, travel information and consumption information of a public security network, and practical applications such as sensitive group behavior analysis, automatic early warning, personnel management, public security prevention and control, case detection, common people service and the like are developed through the set analysis model. Compared with the existing passenger monitoring, the system is open, so that in the running process, the newly collected pictures can be automatically improved all the time through a self-learning algorithm, and the accuracy and the efficiency are further improved. The application scene and the model are set according to actual combat requirements, and can be continuously modified and continuously improved according to the actual combat requirements.
With the innovation and the upgrade of the technology, more data can be collected, such as basic information (including identification card addresses), human body characteristics, gait characteristics and the like of personnel, so that the file information is gradually enriched, and the accuracy and the freshness of the data are ensured.
The utility model discloses owing to utilize present means can't conclude the portrait of a person's history by bus, image record merge and file. By means of the existing face recognition technology and video structuring technology based on deep learning, the artificial intelligence technology is utilized to process the big data of railway passengers, and one-person-one-file construction of the railway face data is developed. Namely, all travel records of one person are automatically identified and filed to form a one-person one-file. And generating a complete image record of the riding of the time, and forming a portrait travel record of one person riding for many times through daily accumulation and monthly accumulation. And by analogy, the riding file records of all the travelers are formed.
(1) And the trip record generated by one person in one file is utilized, the passenger data and other data such as terrorist personnel and evasion data are subjected to correlation analysis, and real-time early warning comparison is carried out.
(2) Thirdly, the trip record generated by one person and one file is utilized to pay attention to the trip situation and law of the group, and the potential group events, the information of the same lines of the small group and the like are quickly mined, so that support is provided for stability maintenance, outburst prevention and explosion control, and the early warning prediction capability is improved.
The system portrait clustering module adopts a clustering method in pattern recognition, and combines a human body characteristic ReID (human body characteristic re-recognition) technology to establish a scheme of one person and one file. If the goal of automatically and accurately establishing one person for one file can be smoothly realized, great help is provided for collecting a large amount of face training data in the later period and improving the bottom face detection and comparison algorithm; the establishment of one person in one file is also beneficial to improving the alarm accuracy rate, and simultaneously can also greatly improve the human face comparison and retrieval speed, and is one of the keys for improving the precision of the system.
The portrait acquisition accesses the picture stream through a data acquisition interface. The data acquisition interface protocol conforms to the' police video image information application system part 4: interface protocol requirements, technical requirements of entrance and exit control figure identification system (GA/T1093-2013) and a 2 nd part of security figure identification application system: portrait image data (GA/T922.2-2011) and safety and protection video monitoring networking system information transmission, exchange and control technical requirements (GB/T28181-2011).
After the hardware equipment model selection, the basic software system forming, the core algorithm adjustment and optimization and other work are completed, the system integration and joint debugging stage is entered. The problems exposed in this stage are solved one by one, and a major defect in system design is found, and if the major defect cannot be compensated by modifying and adjusting, the system needs to be redesigned.
The personnel early warning deployment and control system comprises a verification information pushing system in actual work. The method is used for checking the result that the information is consistent or inconsistent, and immediately pushing the result to relevant workers to remind the workers of rapid treatment.
The real-name checking system research of the passengers in the railway station based on artificial intelligence is favorable for the effective operation of the anti-terrorism work in the railway station. The system developed by the project can be applied to railways, and can be widely applied to real-name system authentication in the traffic fields of civil aviation, long-distance passenger transport, water transportation and the like so as to improve the clearance efficiency, improve the service quality and enhance the user experience. In addition, the system is connected with a background public security control alarm system, so that social security control, form investigation, anti-terrorism and anti-riot, special interest group control and outstanding social benefits are facilitated.
Meanwhile, the invention is paired with a public security police platform, thereby opening the boundary between service departments, enabling the city operation to be more efficient and providing powerful support for the life work of citizens and the business operation development of enterprises. Meanwhile, through the project construction, the event prediction and early warning capability in the urban operation process can be improved, and the early warning analysis in areas where pipelines of pipe networks are easy to leak can be prevented. In the event handling process, the urban emergency handling efficiency can be improved, so that the economic loss caused by the emergency is reduced. Such as emergency position positioning, real-time video calling of an incident position, an incident influence radius (environmental influence, traffic influence, resident influence and the like), an incident peripheral resource distribution radius (hospital, fire fighting, public security, material storage position and the like) and a multi-department coordination scheduling function, and provides all-round support for handling of the emergency.
In the description of the present invention, it is to be noted that, for the orientation words, there are terms such as "center", "lateral", "longitudinal", and the like
The terms "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," and the like are used to designate an orientation or positional relationship that is based on the orientation or positional relationship shown in the drawings for purposes of descriptive convenience and simplicity of description, and are not intended to indicate or imply that the device or element so designated must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the specific scope of the invention.
It is noted that the terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. The utility model provides a railway station six unification passenger real name system verification system based on artificial intelligence which characterized in that: the system comprises a biological information acquisition system, a real-name authentication ticket checking system, a portrait comparison system and a personnel control alarm system, wherein the biological information acquisition system is used for being arranged at a plurality of point positions in a station;
the biological information acquisition system comprises a video portrait snapshot system for shooting a face image, a fingerprint collector for collecting figure fingerprint information and an iris collector for collecting figure iris information, and the devices are respectively and correspondingly arranged on channels of a ticket selling port, a security inspection port, a ticket inspection port, a carriage port and a departure port;
the output ends of the biological information acquisition system and the real-name authentication ticket checking system are connected with the input end of the portrait comparison system, and the output end of the portrait comparison system is connected with the personnel control alarm system;
the portrait comparing system comprises a portrait modeling module, a portrait comparing module, a portrait early warning module and a portrait clustering module, wherein the output end of the portrait modeling module is connected with the input end of the portrait comparing module, the output end of the portrait comparing module is respectively connected with the input ends of the portrait early warning module and the portrait clustering module, and the portrait clustering module is used for formulating the information of the same person into a file.
2. The railway station six-in-one passenger real-name system verification system based on artificial intelligence of claim 1, wherein: the system also comprises a mobile terminal which is in communication connection with the portrait contrast system through wireless communication.
3. The railway station six-in-one passenger real-name system verification system based on artificial intelligence as claimed in claim 2, wherein: the video portrait capturing system adopts a Haikangwei vision face capturing machine DS-2CD7027FWD/F- (A).
4. The railway station six-in-one passenger real-name system verification system based on artificial intelligence as claimed in claim 3, wherein: the fingerprint collector adopts ZKFS 300.
5. The railway station six-in-one passenger real-name system verification system based on artificial intelligence as claimed in claim 4, wherein: the IRIS collector adopts WLH-IRIS-JD 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113744418A (en) * | 2021-11-01 | 2021-12-03 | 环球数科集团有限公司 | Ticket business verification system based on edge cloud integrated environment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113744418A (en) * | 2021-11-01 | 2021-12-03 | 环球数科集团有限公司 | Ticket business verification system based on edge cloud integrated environment |
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