CN111881890A - Intelligent identity recognition security inspection system and method - Google Patents
Intelligent identity recognition security inspection system and method Download PDFInfo
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Abstract
The invention provides an intelligent identity recognition security inspection system and a method thereof, wherein the system comprises: the system comprises front-end equipment and background processing equipment which are connected with each other, wherein the front-end equipment comprises a security check platform used for bearing personnel to be subjected to security check; the information acquisition module is used for acquiring passenger information of a person to be subjected to security inspection; the face recognition module is used for carrying out face recognition on the personnel to be subjected to security inspection; the information pushing module is used for providing recommendation information for the personnel to be subjected to security inspection; the background processing equipment comprises an intelligent information recommendation model, and is used for generating recommendation information according to the acquired physiological parameter information and the interest parameter information; the invention is suitable for the security inspection environment requiring higher security standard, on one hand, the invention can effectively utilize the identified passenger information, provide accurate and personalized information service for passengers, improve the service quality of airport security inspection, and on the other hand, can provide reliable data support and decision basis for passenger transportation counterweight and other services.
Description
Technical Field
The invention relates to the field of electronics, in particular to an intelligent identity recognition security inspection system and method.
Background
Along with the economic development of China, the intelligent step is also gradually accelerated, in the field of safety inspection, the intelligent level of the current safety inspection equipment is generally lower, some safety inspection equipment even continue the traditional pure manual safety inspection mode, and along with the rapid increase of passenger traffic throughput year by year, the current safety inspection means becomes the biggest bottleneck for improving the safety inspection efficiency and the service quality.
Currently, face recognition is widely used in various industries as a general technology, and although the face recognition is used in security inspection scenes of some airports, the following problems are encountered in practical use: 1. during security check and verification, passengers queue in front of a gate to wait for face verification, and a snapshot device may capture the faces of the passengers who are arranged behind the gate in the queue and verify the faces of the passengers, but the passengers who are arranged in front of the gate in the queue actually pass through the device, so that the passengers are mistakenly checked and fail to check, and potential safety hazards are caused; 2. the problem 1 can be solved by adopting equipment such as a double-door gate machine, but the cost is high, the occupied area is large, the adaptability is poor, for some small and medium-sized important places, the placement area and the capital investment are main trouble points, and for application scenes such as important meetings, large-scale events and the like which are used for a short time, the installation, the disassembly and the transportation are extremely inconvenient; 3. the quality of the security check service is not essentially improved, passengers still feel bitter in searching the positions of various service facilities after completing the security check, and the service quality is not high.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent identity recognition security inspection system and method to solve the above-mentioned technical problems.
The invention provides an intelligent identity recognition security inspection system, which comprises: the front-end equipment and the background processing equipment are connected with each other, and the front-end equipment comprises
The security check platform is used for bearing personnel to be subjected to security check to perform security check;
the information acquisition module is used for acquiring passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
the face recognition module is used for carrying out face recognition on the personnel to be subjected to security inspection;
the information pushing module is used for providing recommendation information for the personnel to be subjected to security inspection;
the background processing device at least comprises
And the intelligent information recommendation model is used for generating the recommendation information according to the acquired physiological parameter information and the interest parameter information.
Optionally, the information acquisition module includes a weighing unit, and the weighing unit is arranged on the security check platform and used for acquiring the weight information of the personnel to be subjected to security check.
Optionally, the information acquisition module includes an image acquisition unit, and height information of the person to be subjected to security inspection is acquired through a plurality of image acquisition units arranged on different horizontal planes.
Optionally, the physiological parameter information at least includes weight information, height information, gender information and age information, and the interest parameter information at least includes eye movement information;
the information acquisition module comprises an eyeball tracking module used for acquiring eye movement information of a person to be subjected to security inspection, the intelligent information recommendation model generates first recommendation information according to acquired physiological parameter information and displays the first recommendation information through the information push module, and the intelligent information recommendation model generates second recommendation information according to the eye movement information when the person to be subjected to security inspection acquires the first recommendation information.
Optionally, sample data is collected, where the sample data includes physiological parameter data of different sample persons and interest parameter data corresponding to the physiological parameter data; obtaining the intelligent information recommendation model by performing feedback type deep learning training on the sample data;
the physiological parameter data comprises weight data, height data, gender data and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track.
Optionally, the system further comprises an output module for outputting the second recommendation information, and the output module includes a printing unit for directly printing the content of the second recommendation information, and/or a two-dimensional code generating unit for generating a two-dimensional code from the content of the second recommendation information.
Optionally, the system further comprises a terminal device and an input unit for performing human-computer interaction, and the information pushing module sends the second recommendation information to the terminal device corresponding to the identity information according to the identity information input by the user.
Optionally, the system further comprises a prompting module for prompting the face recognition result.
Optionally, the front-end device is an integrated device.
The invention also provides an intelligent identity recognition security inspection method, which comprises the following steps:
collecting passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
according to the collected face information, carrying out face recognition on the personnel to be subjected to security inspection, and acquiring a verification result;
and for the person to be subjected to security inspection, which passes the verification, generating recommendation information according to the acquired corresponding physiological parameter information and interest parameter information.
Optionally, sample data is collected, where the sample data includes physiological parameter data of different sample persons and interest parameter data corresponding to the physiological parameter data; performing feedback type deep learning training on the sample data to obtain an intelligent information recommendation model;
the physiological parameter data comprises weight data, height data, gender data and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track.
Optionally, the physiological parameter information at least includes weight information, height information, gender information and age information, and the interest parameter information at least includes eye movement information;
the intelligent information recommendation model generates first recommendation information according to the acquired physiological parameter information and displays the first recommendation information to the personnel to be subjected to security inspection, and the intelligent information recommendation model generates second recommendation information according to eye movement information when the personnel to be subjected to security inspection gazes at the first recommendation information.
The invention has the beneficial effects that: the intelligent identity recognition security inspection system and method are suitable for security inspection fields requiring higher security standards, effectively avoid passenger missing inspection events by adopting a non-perception, rapid and accurate recognition method, can effectively utilize the recognized passenger information on one hand, provide accurate and personalized information service for passengers, improve the service quality of airport security inspection, and on the other hand, can provide reliable data support and decision basis for passenger transportation counterweight and other services.
Drawings
Fig. 1 is a schematic structural diagram of a front-end device of an intelligent identity recognition security inspection system in an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a lateral angle of a front-end device of the intelligent identity recognition security inspection system in the embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an aerial view angle of a front-end device of the intelligent identity recognition security inspection system in the embodiment of the present invention.
Fig. 4 is a schematic flow chart of an airport security inspection scene of the intelligent identity recognition security inspection method in the embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.
The intelligent identification security inspection system in this embodiment includes: the front-end equipment and the background processing equipment are connected with each other, and the front-end equipment comprises
The security check platform is used for bearing personnel to be subjected to security check to perform security check;
the information acquisition module is used for acquiring passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
the face recognition module is used for carrying out face recognition on the personnel to be subjected to security inspection;
the information pushing module is used for providing recommendation information for the personnel to be subjected to security inspection;
the background processing device at least comprises
And the intelligent information recommendation model is used for generating the recommendation information according to the acquired physiological parameter information and the interest parameter information.
As shown in fig. 1, 2, and 3, in this embodiment, the security check platform is mainly used for bearing a person to be security checked to perform security check, and is similar to a platform used in security check in an airport. The information acquisition module in this embodiment includes the image acquisition unit, can gather people's face image information through the image acquisition unit on the one hand, has on the other hand, can acquire the height information of waiting to examine personnel through a plurality of image acquisition units that set up in the horizontal plane of difference, can the senseless height information who acquires the personnel of waiting to examine through this kind of mode. In this embodiment, the image capturing unit employs two cameras disposed up and down, and the height of the object can be calculated by analyzing the object images obtained at the same time. In addition, the plurality of cameras are convenient for collecting face images of people to be subjected to security inspection with different heights, such as children, adults and the like, the face images can be automatically switched and identified according to the height of the passenger, the face of the passenger capable of walking vertically can be automatically identified by one of the cameras, the overlapping range of the view fields of the upper camera and the lower camera can be configured, the height of the passenger can be calculated on the premise that the passenger stands in the center of the weighing platform according to different configuration parameters and the height images of the passenger shot by the two cameras, and the height of the passenger can be calculated within a certain error range. In the embodiment, whether a human face exists in a video picture is detected at first, then the detected human face picture is transmitted to a human face recognition module, the human face recognition module carries out key point detection, feature extraction and recognition on the obtained human face picture, and then the obtained human face picture is searched and matched with a credible human face feature library in a storage module, so that whether the human face picture belongs to credible personnel is judged, preferably, according to a judgment result, corresponding instructions can be sent to a voice prompt module and an indicator light module, and the recognized results of gender, age and the like are transmitted to an intelligent information recommendation model to be analyzed, and then an analysis result is obtained.
In this embodiment, according to the face recognition result, whether the current passenger has purchased a ticket or not can be recognized, and if the current passenger has not purchased a ticket, the current passenger is prompted through the prompting module. For example, the indicator light on the security check platform is provided with a red light, and an alarm sound is sent to prompt a hand inspector to process; if the passenger has purchased the ticket, the indicator light is provided with a green light, and the device stores the weight and height data of the passenger and is bound with the passenger information.
In this embodiment, the physiological parameter information at least includes weight information, height information, gender information, and age information, and the interest parameter information at least includes eye movement information; the information acquisition module comprises an eyeball tracking module used for acquiring eye movement information of a person to be subjected to security inspection, the intelligent information recommendation model generates first recommendation information according to acquired physiological parameter information and displays the first recommendation information through the information push module, and the intelligent information recommendation model generates second recommendation information according to the eye movement information when the person to be subjected to security inspection acquires the first recommendation information. According to the embodiment, different recommendation information can be generated according to the acquired physiological parameter information and interest parameter information through an intelligent information recommendation model, for example, flight information and states of the passenger can be pushed on a screen, personalized information prompt and gate navigation can be provided, and real-time information such as weather reports, tourist navigation and news reports arriving at an airport can be provided for the passenger. Correspondingly, the input unit can be arranged, the terminal equipment of the user can be appointed through human-computer interaction, and the information pushing module sends the second recommendation information to the terminal equipment corresponding to the identity information according to the identity information input by the user, so that the user can conveniently obtain the more accurate and detailed second recommendation information at any time. Of course, an output module for outputting the second recommendation information may also be provided, where the output module includes a printing unit that directly prints the content of the second recommendation information, and/or a two-dimensional code generating unit that generates a two-dimensional code from the content of the second recommendation information, and obtains the information content of interest of the traveler through an eyeball tracking function, and generates the two-dimensional code from the related content to print and output the two-dimensional code, so that the traveler can scan the code to view the information of interest in detail when the traveler is idle. Generally speaking, security inspection of important places is a tedious process, and through the embodiment, the identified passenger information can be effectively utilized, accurate and personalized information service is provided for passengers, and the service quality of airport security inspection is improved.
In this embodiment, sample data is acquired, where the sample data includes physiological parameter data of different sample persons and interest parameter data corresponding to the physiological parameter data; performing feedback type deep learning training on the sample data to obtain an intelligent information recommendation model; the physiological parameter data in this embodiment includes weight data, height data, gender data, and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track. Preferably, the weight/height data, the sex age data and the eyeball activity data in the storage module can be subjected to feedback type deep learning training regularly, the intelligent information recommendation model is updated, and continuous and accurate personalized recommendation for different users is achieved. For example, in the most common airport security inspection scene, passengers are the main objects needing security inspection, and the main contents of interest are mainly clothes and eating houses, while passengers of different ages, different heights/weights and different sexes pay different attention to certain accommodation concerns, certain traffic concerns, traveling concerns, certain dining concerns, certain shopping concerns, certain entertainment concerns, and the like. The intelligent information recommendation model in the embodiment can realize more accurate personalized recommendation of different use objects by training a large amount of sample data, the theme information which is interested in the passenger with high probability is delivered to the passenger through the information push module, such as an equipment screen, and then the eye movement information of the passenger is collected in real time through the image collection unit, so that the information content which is interested in the passenger is further judged, so that more accurate content which is interested in the passenger is obtained, and the detailed content with smaller range is secondarily pushed through the information push module. Preferably, the data storage mode can be optimized by performing statistical analysis on historical data request conditions based on indexes such as data types, characteristics and access frequency, so that accurate and rapid request response to the intelligent information recommendation model is ensured.
The front-end equipment in the embodiment adopts an integrated structure, under the security inspection scene with an extremely high safety standard, the passenger missing inspection event can be effectively avoided by adopting a non-perception, rapid and accurate identification method through the front-end equipment, the method is not only suitable for airports, but also suitable for application scenes for short-term use such as important conferences and large-scale events, is convenient to install, disassemble and carry, and has strong scene adaptability.
Correspondingly, the embodiment further provides an intelligent identity recognition security inspection method, which includes:
collecting passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
according to the collected face information, carrying out face recognition on the personnel to be subjected to security inspection, and acquiring a verification result;
and for the person to be subjected to security inspection, which passes the verification, generating recommendation information according to the acquired corresponding physiological parameter information and interest parameter information.
In this embodiment, first, sample data is collected, where the sample data includes physiological parameter data of different sample persons and interest parameter data corresponding to the physiological parameter data; performing feedback type deep learning training on the sample data to obtain an intelligent information recommendation model; the physiological parameter data comprises weight data, height data, gender data and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track. The physiological parameter information at least comprises weight information, height information, gender information and age information, and the interest parameter information at least comprises eye movement information; the intelligent information recommendation model generates first recommendation information according to the acquired physiological parameter information and displays the first recommendation information to the personnel to be subjected to security inspection, and the intelligent information recommendation model generates second recommendation information according to eye movement information when the personnel to be subjected to security inspection gazes at the first recommendation information.
As shown in fig. 4, taking an airport scenario as an example:
after entering a security check area, a passenger firstly stands on a security check platform, a face of the passenger faces a screen of the equipment, a camera captures a face image, whether the current passenger purchases a ticket or not is identified, if the passenger does not purchase the ticket, an indicator lamp on a weighing platform surface lights a red light, and an alarm sound is sent to prompt a manual inspector to process the red light; if the passenger purchases a ticket, the green light is lighted on the indicating lamp on the weighing table board, the device stores weight and height data of the passenger, the weight and height data are bound with passenger information, flight information and state of the passenger are pushed on a screen, personalized information prompt and gate boarding navigation are provided, real-time information such as weather reports, tourist navigation and news reports arriving at an airport is provided for the passenger, information content interesting to the passenger is obtained through an eyeball tracking function, recommendation information is obtained through an intelligent information recommendation model, two-dimensional codes can be generated for relevant content to be printed and output, and the passenger can scan the codes to check interesting information in detail at leisure.
For example, the person to be security checked is a 25-year-old woman with a weight of 90 jin and a height of 160, the content of the young woman, such as a weather report, tourist navigation, shopping strategy and the like, which is more interesting can be displayed as first recommendation information, the content of the young woman, which is more interesting, can be obtained within the range according to the eye movement information, corresponding detailed content is generated as second recommendation information, and the information is pushed for the second time in a printing or two-dimensional code mode and the like.
For example, the person to be security checked is a 40-year-old male, the weight is 180 jin, the height is 175, the content of more interest of middle-aged men such as accommodation, food and traffic can be displayed as the first recommendation information, the content of more interest of middle-aged men can be obtained in the range according to the eye movement information, the corresponding detailed content is generated as the second recommendation information, and the information is pushed for the second time in a printing or two-dimensional code mode.
In the above embodiments, unless otherwise specified, the description of common objects by using "first", "second", etc. ordinal numbers only indicate that they refer to different instances of the same object, rather than indicating that the objects being described must be in a given sequence, whether temporally, spatially, in ranking, or in any other manner.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (12)
1. An intelligent identification security check system, comprising: the front-end equipment and the background processing equipment are connected with each other, and the front-end equipment comprises
The security check platform is used for bearing personnel to be subjected to security check to perform security check;
the information acquisition module is used for acquiring passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
the face recognition module is used for carrying out face recognition on the personnel to be subjected to security inspection;
the information pushing module is used for providing recommendation information for the personnel to be subjected to security inspection;
the background processing device at least comprises
And the intelligent information recommendation model is used for generating the recommendation information according to the acquired physiological parameter information and the interest parameter information.
2. The intelligent identity recognition security inspection system of claim 1, wherein the information collection module comprises a weighing unit, and the weighing unit is arranged on the security inspection platform and used for collecting weight information of a person to be security inspected.
3. The intelligent identity recognition security inspection system of claim 1, wherein the information acquisition module comprises an image acquisition unit, and the height information of the person to be security inspected is acquired through a plurality of image acquisition units arranged on different horizontal planes.
4. The intelligent identity recognition security inspection system of claim 1, wherein the physiological parameter information at least comprises weight information, height information, gender information and age information, and the interest parameter information at least comprises eye movement information;
the information acquisition module comprises an eyeball tracking module used for acquiring eye movement information of a person to be subjected to security inspection, the intelligent information recommendation model generates first recommendation information according to acquired physiological parameter information and displays the first recommendation information through the information push module, and the intelligent information recommendation model generates second recommendation information according to the eye movement information when the person to be subjected to security inspection acquires the first recommendation information.
5. The intelligent identity security check system of claim 4,
collecting sample data, wherein the sample data comprises physiological parameter data of different sample characters and interest parameter data corresponding to the physiological parameter data; obtaining the intelligent information recommendation model by performing feedback type deep learning training on the sample data;
the physiological parameter data comprises weight data, height data, gender data and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track.
6. The intelligent identity recognition security inspection system of claim 5, further comprising an output module for outputting the second recommendation information, wherein the output module comprises a printing unit for directly printing the content of the second recommendation information, and/or a two-dimensional code generating unit for generating a two-dimensional code from the content of the second recommendation information.
7. The intelligent identity recognition security inspection system of claim 5, further comprising a terminal device and an input unit for performing human-computer interaction, wherein the information pushing module sends the second recommendation information to the terminal device corresponding to the identity information according to the identity information input by the user.
8. The intelligent identity recognition security inspection system of claim 5, further comprising a prompting module for prompting the face recognition result.
9. The intelligent identity recognition security inspection system of claim 1, wherein the front-end device is an integral device.
10. An intelligent identity recognition security inspection method is characterized by comprising the following steps:
collecting passenger information of a person to be subjected to security inspection; the passenger information comprises face information, physiological parameter information and interest parameter information;
according to the collected face information, carrying out face recognition on the personnel to be subjected to security inspection, and acquiring a verification result;
and for the person to be subjected to security inspection, which passes the verification, generating recommendation information according to the acquired corresponding physiological parameter information and interest parameter information.
11. The intelligent identity recognition security inspection method of claim 10, wherein sample data is collected, the sample data comprising physiological parameter data of different sample persons and interest parameter data corresponding thereto; performing feedback type deep learning training on the sample data to obtain an intelligent information recommendation model;
the physiological parameter data comprises weight data, height data, gender data and age data; the interest parameter data comprises data content, content position, fixation point, sight line dwell time and sight line activity track.
12. The intelligent identity recognition security inspection method of claim 11, wherein the physiological parameter information at least comprises weight information, height information, gender information and age information, and the interest parameter information at least comprises eye movement information;
the intelligent information recommendation model generates first recommendation information according to the acquired physiological parameter information and displays the first recommendation information to the personnel to be subjected to security inspection, and the intelligent information recommendation model generates second recommendation information according to eye movement information when the personnel to be subjected to security inspection gazes at the first recommendation information.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113362541A (en) * | 2021-06-29 | 2021-09-07 | 中国工商银行股份有限公司 | Intelligent terminal height control method and device and intelligent terminal |
| CN113849153A (en) * | 2021-09-07 | 2021-12-28 | 海南太美航空股份有限公司 | Boarding navigation method and system based on ticket gate |
| CN114067400A (en) * | 2021-11-17 | 2022-02-18 | 北京磁浮有限公司 | Rail transit operation management method and device, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113362541A (en) * | 2021-06-29 | 2021-09-07 | 中国工商银行股份有限公司 | Intelligent terminal height control method and device and intelligent terminal |
| CN113849153A (en) * | 2021-09-07 | 2021-12-28 | 海南太美航空股份有限公司 | Boarding navigation method and system based on ticket gate |
| CN114067400A (en) * | 2021-11-17 | 2022-02-18 | 北京磁浮有限公司 | Rail transit operation management method and device, computer equipment and storage medium |
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