Self-service police service terminal method and system based on intelligent anti-peeping algorithm and medium

Abstract

The invention provides a self-service police service terminal method and system based on an intelligent anti-peeping algorithm and a medium. The method comprises the steps of collecting behavior monitoring information when a target operator uses a preset self-service police service terminal, extracting behavior characteristic data, processing to obtain a behavior abnormal index, obtaining environment characteristic data of an area where the target operator is located, processing to obtain an environment interference abnormal index, obtaining equipment state data of the preset self-service police service terminal, and sending the equipment state data to the preset self-service police service terminal. Processing to obtain an equipment state abnormal index, processing according to the behavior abnormal index, the environment interference abnormal index and the equipment state abnormal index to obtain a system comprehensive state abnormal index, obtaining an abnormal level, and obtaining a corresponding anti-peeping scheme according to the abnormal level. Therefore, the technology of the self-service police service terminal based on the intelligent anti-peeping algorithm is realized.

Description

Technical Field

[0001] The present application relates to the field of intelligent anti-peeping technology, and more specifically, to a self-service police terminal method, system and medium based on an intelligent anti-peeping algorithm. Background Art

[0002] With the widespread application of information technology in the field of police work, self-service police terminals provide the public with a convenient way to handle business. However, these terminals may pose a risk of information being snooped on during use. For example, when users are operating operations involving personal privacy or police confidential information, people around them may peek at the screen content. In addition, some users peek at other people's operations or information by operating the self-service police terminals abnormally or pretending to operate them.

[0003] The existing protective measures are insufficient, and a smarter and more effective anti-peeping method is urgently needed.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a self-service police terminal method, system and medium based on an intelligent anti-peeping algorithm. The method can collect the behavior monitoring information of the target operator when using a preset self-service police terminal, extract the behavior feature data, process it to obtain the behavior abnormality index, obtain the environmental characteristic data of the area where the target operator is located, process it to obtain the environmental interference abnormality index, obtain the equipment status data of the preset self-service police terminal, process it to obtain the equipment status abnormality index, process it according to the behavior abnormality index, the environmental interference abnormality index and the equipment status abnormality index, obtain the system comprehensive status abnormality index, and obtain the abnormality level, obtain the corresponding anti-peeping solution according to the abnormality level, and realize the technology of self-service police terminal based on the intelligent anti-peeping algorithm.

[0006] The present application also provides a self-service police terminal method based on an intelligent anti-peeping algorithm, comprising the following steps: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, and process it to obtain the behavior abnormality index; Acquire environmental characteristic data of the area where the target operator is located, and process to obtain an environmental interference anomaly index; Acquire the device status data of the preset self-service police terminal, and process to obtain the device status abnormality index; Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; The corresponding anti-peeping solution is obtained according to the abnormality level.

[0007] Optionally, in the self-service police terminal method based on the intelligent anti-peeping algorithm described in the present application, the collecting of the behavior monitoring information of the target operator when using the preset self-service police terminal, extracting the behavior feature data, and processing to obtain the behavior abnormality index include: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data; The behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; Acquire behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; Performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; The abnormal behavior index is obtained by processing the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data and the head rotation frequency deviation value data.

[0008] Optionally, in the self-service police terminal method based on the intelligent anti-peeping algorithm described in the present application, the step of obtaining the environmental characteristic data of the area where the target operator is located and processing to obtain the environmental interference anomaly index includes: Acquire environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; Obtain the minimum spacing setting value data and the maximum stagnation time setting value data; Comparing the minimum spacing data with the minimum spacing setting value data, obtaining minimum spacing deviation value data; Comparing the maximum stagnation time length data with the maximum stagnation time length setting value data, obtaining maximum stagnation time length deviation value data; The environmental interference anomaly index is obtained by processing the minimum spacing deviation value data and the maximum stagnation time deviation value data.

[0009] Optionally, in the self-service police terminal method based on the intelligent anti-peeping algorithm described in the present application, the step of obtaining the device status data of the preset self-service police terminal and processing to obtain the device status abnormality index includes: Obtaining device status data of the preset self-service police terminal, including screen brightness change rate data and number of login failures data; Obtain device status setting data, including screen brightness change rate setting data and login failure count setting data; Perform corresponding comparison processing according to the device status data combined with the device status setting value data to obtain screen brightness change rate deviation value data and login failure number deviation value data; The device status abnormality index is obtained by processing the screen brightness change rate deviation value data and the login failure number deviation value data.

[0010] Optionally, in the self-service police terminal method based on the intelligent anti-peeping algorithm described in the present application, the processing is performed according to the abnormal behavior index, the abnormal environment interference index and the abnormal device status index to obtain the system comprehensive status abnormal index and obtain the abnormal level, including: Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index; Comparing the system comprehensive state abnormality index with the system comprehensive state abnormality threshold to obtain a comparison result; Obtaining a corresponding abnormality level according to the comparison result; If the comparison result is less than or equal to the first preset threshold, the abnormality level is a first-level abnormality; If the comparison result is greater than the first preset threshold and less than the second preset threshold, the abnormality level is a level 2 abnormality; If the comparison result is greater than or equal to the second preset threshold, the abnormality level is a third-level abnormality.

[0011] Optionally, in the self-service police terminal method based on the intelligent anti-peeping algorithm described in the present application, the step of obtaining a corresponding anti-peeping solution according to the abnormality level includes: If the abnormality level is a level one abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the preset self-service police terminal issuing a voice prompt to remind the target operator to pay attention; If the abnormality level is a level 2 abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the system immediately pausing the operation interface and displaying a warning on the screen of the preset self-service police terminal; If the abnormal level is level 3, the corresponding anti-peeping solution is obtained and the response is processed, including the system blurring the operation interface, and the preset self-service police terminal issues an alarm and sends it to the backend. In a second aspect, the present application provides a self-service police terminal system based on an intelligent anti-peeping algorithm, the system comprising: a memory and a processor, the memory comprising a program of a self-service police terminal method based on an intelligent anti-peeping algorithm, the program of the self-service police terminal method based on an intelligent anti-peeping algorithm being executed by the processor to implement the following steps: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, and process it to obtain the behavior abnormality index; Acquire environmental characteristic data of the area where the target operator is located, and process to obtain an environmental interference anomaly index; Acquire the device status data of the preset self-service police terminal, and process to obtain the device status abnormality index; Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; The corresponding anti-peeping solution is obtained according to the abnormality level.

[0012] Optionally, in the self-service police terminal system based on the intelligent anti-peeping algorithm described in the present application, the behavior monitoring information of the target operator when using the preset self-service police terminal is collected, and the behavior feature data is extracted and processed to obtain the behavior abnormality index, including: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data; The behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; Acquire behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; Performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; The abnormal behavior index is obtained by processing the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data and the head rotation frequency deviation value data.

[0013] Optionally, in the self-service police terminal system based on the intelligent anti-peeping algorithm described in the present application, the step of obtaining the environmental characteristic data of the area where the target operator is located and processing to obtain the environmental interference anomaly index includes: Acquire environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; Obtain the minimum spacing setting value data and the maximum stagnation time setting value data; Comparing the minimum spacing data with the minimum spacing setting value data, obtaining minimum spacing deviation value data; Comparing the maximum stagnation time length data with the maximum stagnation time length setting value data, obtaining maximum stagnation time length deviation value data; The environmental interference anomaly index is obtained by processing the minimum spacing deviation value data and the maximum stagnation time deviation value data.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which stores a self-service police terminal method program based on an intelligent anti-peeping algorithm. When the self-service police terminal method program based on an intelligent anti-peeping algorithm is executed by a processor, the steps of the self-service police terminal method based on an intelligent anti-peeping algorithm as described in any one of the above items are implemented.

[0015] From the above, it can be seen that the self-service police terminal method, system and medium based on the intelligent anti-peeping algorithm provided by the present application collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data, process to obtain the behavior abnormality index, obtain the environmental characteristic data of the area where the target operator is located, process to obtain the environmental interference abnormality index, obtain the equipment status data of the preset self-service police terminal, process to obtain the equipment status abnormality index, process according to the behavior abnormality index, the environmental interference abnormality index and the equipment status abnormality index, obtain the system comprehensive status abnormality index, and obtain the abnormality level, obtain the corresponding anti-peeping solution according to the abnormality level, thereby realizing the technology of the self-service police terminal based on the intelligent anti-peeping algorithm.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a self-service police terminal method based on an intelligent anti-peeping algorithm provided in an embodiment of the present application; Figure 2 A flow chart of obtaining an abnormal behavior index for a self-service police terminal method based on an intelligent anti-peeping algorithm provided in an embodiment of the present application; Figure 3 A flow chart of obtaining an environmental interference anomaly index of a self-service police terminal method based on an intelligent anti-peeping algorithm provided in an embodiment of the present application; Figure 4 A flowchart of obtaining a device status abnormality index for a self-service police terminal method based on an intelligent anti-peeping algorithm provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 The flowchart of the self-service police terminal method based on the intelligent anti-peeping algorithm in some embodiments of the present application. The self-service police terminal method based on the intelligent anti-peeping algorithm is used in terminal devices, such as computers, mobile phone terminals, etc. The self-service police terminal method based on the intelligent anti-peeping algorithm includes the following steps: S11, collecting the behavior monitoring information of the target operator when using the preset self-service police terminal, extracting the behavior feature data, and processing to obtain the behavior abnormality index; S12, obtaining environmental characteristic data of the area where the target operator is located, and processing to obtain an environmental interference anomaly index; S13, obtaining the device status data of the preset self-service police terminal, and processing to obtain the device status abnormality index; S14, performing processing according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; S15. Obtain a corresponding anti-peeping solution according to the abnormality level.

[0022] It should be noted that, with the widespread application of information technology in the field of police work, self-service police terminals provide the public with a convenient way to handle business. However, these terminals may have the risk of information being peeped during use. For example, when a user is operating an operation involving personal privacy or police confidential information, people around him may peek at the screen content. In addition, some users peek at other people's operations or information by abnormally or pretending to operate the self-service police terminal. The existing protection measures are insufficient, and a more intelligent and effective anti-peeping method is urgently needed. In this embodiment, first, by collecting the behavior monitoring information of the target operator when using the preset self-service police terminal, and extracting the behavior feature data, processing to obtain the behavior anomaly index, obtaining the environmental characteristic data of the area where the target operator is located, processing to obtain the environmental interference anomaly index, obtaining the device status data of the preset self-service police terminal, processing to obtain the device status anomaly index, processing according to the behavior anomaly index, the environmental interference anomaly index and the device status anomaly index, obtaining the system comprehensive status anomaly index, and obtaining the anomaly level, obtaining the corresponding anti-peeping scheme according to the anomaly level, thereby realizing the technology of the self-service police terminal based on the intelligent anti-peeping algorithm.

[0023] Please refer to Figure 2 , Figure 2 The flowchart of the method for obtaining an abnormal behavior index of a self-service police terminal based on an intelligent anti-peeping algorithm in some embodiments of the present application is as follows. According to an embodiment of the present invention, the behavior monitoring information of the target operator when using a preset self-service police terminal is collected, and the behavior feature data is extracted, and the abnormal behavior index is obtained by processing, including: S21, collecting behavior monitoring information of the target operator when using the preset self-service police terminal, and extracting behavior feature data; S22, the behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; S23, obtaining behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; S24, performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; S25. Process the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data, and the head rotation frequency deviation value data to obtain a behavior abnormality index.

[0024] It should be noted that, under normal circumstances, when a user uses a self-service police terminal to complete a certain business (such as handling ID card-related business, querying traffic violation information, etc.), there will be a relatively reasonable stay time range. If a user stays on a certain page or operation step for too long, far exceeding the time required for normal business, there may be suspicion of peeping at other people's operations or information. On the other hand, during normal operation, the user's keystrokes, screen clicks and other operation frequencies will have a certain rhythm. If the operation frequency is too low (sudden operation after a long period of stillness) or too high (such as crazy screen clicks), it may be an abnormal operation related to peeping after observing the surrounding environment. In addition, if the user's line of sight often deviates from the screen range of his own operation and frequently looks at the screen of the user next to him, this is an obvious potential peeping behavior feature, and the head movement can also reflect the user's intention. Frequently turning the head to check the operations of other users around, especially when other users are inputting sensitive information (such as passwords, case details, etc.), it may be peeping. Therefore, according to the stay time deviation value data, operation frequency deviation value data, line of sight deviation angle deviation value data and head rotation frequency deviation value data, the behavior abnormality index is obtained; The calculation formula of the abnormal behavior index is: ; in, is the behavioral abnormality index, They are the dwell time deviation value data, the operation frequency deviation value data, the sight deviation angle deviation value data, and the head rotation frequency deviation value data. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0025] Please refer to Figure 3 , Figure 3 The flowchart of the method for obtaining an environmental interference anomaly index of a self-service police terminal based on an intelligent anti-peeping algorithm in some embodiments of the present application is as follows. According to an embodiment of the present invention, the environmental characteristic data of the area where the target operator is located is obtained and the environmental interference anomaly index is obtained by processing, including: S31, obtaining environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; S32, obtaining minimum spacing setting value data and maximum stagnation time setting value data; S33, performing comparison processing based on the minimum spacing data and the minimum spacing setting value data to obtain minimum spacing deviation value data; S34, performing comparison processing based on the maximum stagnation time data and the maximum stagnation time setting value data to obtain maximum stagnation time deviation value data; S35 , performing processing according to the minimum spacing deviation value data and the maximum stagnation time deviation value data to obtain an environmental interference anomaly index.

[0026] It should be noted that, on the one hand, if two users are too close when using the self-service police terminal, which is less than the safe distance required for normal use (generally recommended to be more than 1.5-2 meters), the possibility of one user spying on the operation of another user will increase. On the other hand, if it is found that the flow of people in a certain area is stagnant, especially if people stay in a position where they can spy on other users' operations for a long time, this may be an environmental feature of potential peeping behavior. Therefore, the environmental characteristic data of the area where the target operator is located is obtained, including the minimum distance data between other users and the target operator and the maximum stagnation time data of other users, and the minimum distance setting value data and the maximum stagnation time setting value data are obtained at the same time. The minimum distance data is combined with the minimum distance setting value data for comparison processing to obtain the minimum distance deviation value data, and the maximum stagnation time data is combined with the maximum stagnation time setting value data for comparison processing to obtain the maximum stagnation time deviation value data. Finally, the minimum distance deviation value data and the maximum stagnation time deviation value data are processed to obtain the environmental interference anomaly index; The calculation formula of the environmental interference anomaly index is: ; in, is the environmental disturbance anomaly index, They are the minimum spacing deviation value data and the maximum stagnation time deviation value data respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0027] Please refer to Figure 4 , Figure 4 The flowchart of the device status abnormality index of the self-service police terminal method based on the intelligent anti-peeping algorithm in some embodiments of the present application. According to the embodiment of the present invention, the device status data of the preset self-service police terminal is obtained, and the device status abnormality index is obtained by processing, including: S41, obtaining device status data of the preset self-service police terminal, including screen brightness change rate data and login failure number data; S42, obtaining device status setting value data, including screen brightness change rate setting value data and login failure number setting value data; S43, performing corresponding comparison processing according to the device status data and the device status setting value data, to obtain screen brightness change rate deviation value data and login failure number deviation value data; S44. Process the screen brightness change rate deviation value data and the login failure times deviation value data to obtain a device status abnormality index.

[0028] It should be noted that if the user deliberately brightens the screen, it may be for the convenience of peeping or to attract the attention of others to peek. If there are multiple failed login records on a terminal device, and then the user peeks at other users who are successfully operating, it may be an attempt to obtain the correct login information by peeping. Therefore, the device status abnormality index is obtained by extracting the screen brightness change rate deviation value data and the login failure number deviation value data; The calculation formula of the device status abnormality index is: ; in, is the device status abnormality index, They are screen brightness change rate deviation value data and login failure number deviation value data respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0029] According to an embodiment of the present invention, the processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain the system comprehensive state abnormality index and obtain the abnormality level, including: Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index; Comparing the system comprehensive state abnormality index with the system comprehensive state abnormality threshold to obtain a comparison result; Obtaining a corresponding abnormality level according to the comparison result; If the comparison result is less than or equal to the first preset threshold, the abnormality level is a first-level abnormality; If the comparison result is greater than the first preset threshold and less than the second preset threshold, the abnormality level is a level 2 abnormality; If the comparison result is greater than or equal to the second preset threshold, the abnormality level is a third-level abnormality.

[0030] It should be noted that the system comprehensive state abnormality index is obtained by processing the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index, and then compared with the system comprehensive state abnormality threshold to obtain a comparison result. The abnormality level is determined according to the range of the comparison result, including the first, second and third abnormal levels; The calculation formula of the system comprehensive state abnormality index is: ; in, is the system comprehensive status abnormality index, They are behavior anomaly index, environmental interference anomaly index, and device status anomaly index. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0031] According to an embodiment of the present invention, obtaining a corresponding anti-peeping solution according to the abnormality level includes: If the abnormality level is a level one abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the preset self-service police terminal issuing a voice prompt to remind the target operator to pay attention; If the abnormality level is a level 2 abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the system immediately pausing the operation interface and displaying a warning on the screen of the preset self-service police terminal; If the abnormality level is level three, the corresponding anti-peeping solution is obtained and response processing is performed, including the system fuzzy operation interface, and the preset self-service police terminal issues an alarm and sends it to the background.

[0032] It should be noted that according to different levels of abnormal situations, the system needs to make different response plans. For level one abnormalities, the self-service police terminal issues a voice prompt to remind the target operator to pay attention. For level two abnormalities, the system immediately suspends the operation interface and displays a warning on the screen of the preset self-service police terminal. For level three abnormalities, the system blurs the operation interface, and the self-service police terminal issues an alarm and sends it to the background.

[0033] In a second aspect, the present invention further discloses a self-service police terminal system based on an intelligent anti-peeping algorithm, comprising a memory and a processor, wherein the memory comprises a self-service police terminal method program based on the intelligent anti-peeping algorithm, and when the self-service police terminal method program based on the intelligent anti-peeping algorithm is executed by the processor, the following steps are implemented: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, and process it to obtain the behavior abnormality index; Acquire environmental characteristic data of the area where the target operator is located, and process to obtain an environmental interference anomaly index; Acquire the device status data of the preset self-service police terminal, and process to obtain the device status abnormality index; Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; The corresponding anti-peeping solution is obtained according to the abnormality level.

[0034] It should be noted that, with the widespread application of information technology in the field of police work, self-service police terminals provide the public with a convenient way to handle business. However, these terminals may have the risk of information being peeped during use. For example, when a user is operating an operation involving personal privacy or police confidential information, people around him may peek at the screen content. In addition, some users peek at other people's operations or information by abnormally or pretending to operate the self-service police terminal. The existing protection measures are insufficient, and a more intelligent and effective anti-peeping method is urgently needed. In this embodiment, first, by collecting the behavior monitoring information of the target operator when using the preset self-service police terminal, and extracting the behavior feature data, processing to obtain the behavior anomaly index, obtaining the environmental characteristic data of the area where the target operator is located, processing to obtain the environmental interference anomaly index, obtaining the device status data of the preset self-service police terminal, processing to obtain the device status anomaly index, processing according to the behavior anomaly index, the environmental interference anomaly index and the device status anomaly index, obtaining the system comprehensive status anomaly index, and obtaining the anomaly level, obtaining the corresponding anti-peeping scheme according to the anomaly level, thereby realizing the technology of the self-service police terminal based on the intelligent anti-peeping algorithm.

[0035] According to an embodiment of the present invention, the behavior monitoring information of the target operator when using the preset self-service police terminal is collected, and the behavior feature data is extracted and processed to obtain the behavior abnormality index, including: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data; The behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; Acquire behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; Performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; The abnormal behavior index is obtained by processing the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data and the head rotation frequency deviation value data.

[0036] It should be noted that, under normal circumstances, when a user uses a self-service police terminal to complete a certain business (such as handling ID card-related business, querying traffic violation information, etc.), there will be a relatively reasonable stay time range. If a user stays on a certain page or operation step for too long, far exceeding the time required for normal business, there may be suspicion of peeping at other people's operations or information. On the other hand, during normal operation, the user's keystrokes, screen clicks and other operation frequencies will have a certain rhythm. If the operation frequency is too low (sudden operation after a long period of stillness) or too high (such as crazy screen clicks), it may be an abnormal operation related to peeping after observing the surrounding environment. In addition, if the user's line of sight often deviates from the screen range of his own operation and frequently looks at the screen of the user next to him, this is an obvious potential peeping behavior feature, and the head movement can also reflect the user's intention. Frequently turning the head to check the operations of other users around, especially when other users are inputting sensitive information (such as passwords, case details, etc.), it may be peeping. Therefore, according to the stay time deviation value data, operation frequency deviation value data, line of sight deviation angle deviation value data and head rotation frequency deviation value data, the behavior abnormality index is obtained; The calculation formula of the abnormal behavior index is: ; in, is the behavioral abnormality index, They are the dwell time deviation value data, the operation frequency deviation value data, the sight deviation angle deviation value data, and the head rotation frequency deviation value data. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0037] According to an embodiment of the present invention, the step of acquiring environmental characteristic data of the area where the target operator is located and processing to obtain an environmental interference anomaly index includes: Acquire environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; Obtain the minimum spacing setting value data and the maximum stagnation time setting value data; Comparing the minimum spacing data with the minimum spacing setting value data, obtaining minimum spacing deviation value data; Comparing the maximum stagnation time length data with the maximum stagnation time length setting value data, obtaining maximum stagnation time length deviation value data; The environmental interference anomaly index is obtained by processing the minimum spacing deviation value data and the maximum stagnation time deviation value data.

[0038] It should be noted that, on the one hand, if two users are too close when using the self-service police terminal, which is less than the safe distance required for normal use (generally recommended to be more than 1.5-2 meters), the possibility of one user spying on the operation of another user will increase. On the other hand, if it is found that the flow of people in a certain area is stagnant, especially if people stay in a position where they can spy on other users' operations for a long time, this may be an environmental feature of potential peeping behavior. Therefore, the environmental characteristic data of the area where the target operator is located is obtained, including the minimum distance data between other users and the target operator and the maximum stagnation time data of other users, and the minimum distance setting value data and the maximum stagnation time setting value data are obtained at the same time. The minimum distance data is combined with the minimum distance setting value data for comparison processing to obtain the minimum distance deviation value data, and the maximum stagnation time data is combined with the maximum stagnation time setting value data for comparison processing to obtain the maximum stagnation time deviation value data. Finally, the minimum distance deviation value data and the maximum stagnation time deviation value data are processed to obtain the environmental interference anomaly index; The calculation formula of the environmental interference anomaly index is: ; in, is the environmental disturbance anomaly index, They are the minimum spacing deviation value data and the maximum stagnation time deviation value data respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0039] According to an embodiment of the present invention, the step of obtaining the device status data of the preset self-service police terminal and processing to obtain the device status abnormality index includes: Obtaining device status data of the preset self-service police terminal, including screen brightness change rate data and number of login failures data; Obtain device status setting data, including screen brightness change rate setting data and login failure count setting data; Perform corresponding comparison processing according to the device status data combined with the device status setting value data to obtain screen brightness change rate deviation value data and login failure number deviation value data; The device status abnormality index is obtained by processing the screen brightness change rate deviation value data and the login failure number deviation value data.

[0040] It should be noted that if the user deliberately brightens the screen, it may be for the convenience of peeping or to attract the attention of others to peek. If there are multiple failed login records on a terminal device, and then the user peeks at other users who are successfully operating, it may be an attempt to obtain the correct login information by peeping. Therefore, the device status abnormality index is obtained by extracting the screen brightness change rate deviation value data and the login failure number deviation value data; The calculation formula of the device status abnormality index is: ; in, is the device status abnormality index, They are screen brightness change rate deviation value data and login failure number deviation value data respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0041] According to an embodiment of the present invention, the processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain the system comprehensive state abnormality index and obtain the abnormality level, including: Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index; Comparing the system comprehensive state abnormality index with the system comprehensive state abnormality threshold to obtain a comparison result; Obtaining a corresponding abnormality level according to the comparison result; If the comparison result is less than or equal to the first preset threshold, the abnormality level is a first-level abnormality; If the comparison result is greater than the first preset threshold and less than the second preset threshold, the abnormality level is a level 2 abnormality; If the comparison result is greater than or equal to the second preset threshold, the abnormality level is a third-level abnormality.

[0042] It should be noted that the system comprehensive state abnormality index is obtained by processing the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index, and then compared with the system comprehensive state abnormality threshold to obtain a comparison result. The abnormality level is determined according to the range of the comparison result, including the first, second and third abnormal levels; The calculation formula of the system comprehensive state abnormality index is: ; in, is the system comprehensive status abnormality index, They are behavior anomaly index, environmental interference anomaly index, and device status anomaly index. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent anti-voyeurism monitoring database).

[0043] According to an embodiment of the present invention, obtaining a corresponding anti-peeping solution according to the abnormality level includes: If the abnormality level is a level one abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the preset self-service police terminal issuing a voice prompt to remind the target operator to pay attention; If the abnormality level is a level 2 abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the system immediately pausing the operation interface and displaying a warning on the screen of the preset self-service police terminal; If the abnormality level is level three, the corresponding anti-peeping solution is obtained and response processing is performed, including the system fuzzy operation interface, and the preset self-service police terminal issues an alarm and sends it to the background.

[0044] It should be noted that according to different levels of abnormal situations, the system needs to make different response plans. For level one abnormalities, the self-service police terminal issues a voice prompt to remind the target operator to pay attention. For level two abnormalities, the system immediately suspends the operation interface and displays a warning on the screen of the preset self-service police terminal. For level three abnormalities, the system blurs the operation interface, and the self-service police terminal issues an alarm and sends it to the background.

[0045] The third aspect of the present invention provides a readable storage medium, which stores a self-service police terminal method program based on an intelligent anti-voyeurism algorithm. When the self-service police terminal method program based on an intelligent anti-voyeurism algorithm is executed by a processor, the steps of the self-service police terminal method based on an intelligent anti-voyeurism algorithm as described in any one of the above items are implemented.

[0046] The self-service police terminal method, system and medium based on the intelligent anti-peeping algorithm disclosed in the present invention collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, process to obtain the behavior abnormality index, obtain the environmental characteristic data of the area where the target operator is located, process to obtain the environmental interference abnormality index, obtain the equipment status data of the preset self-service police terminal, process to obtain the equipment status abnormality index, process according to the behavior abnormality index, the environmental interference abnormality index and the equipment status abnormality index, obtain the system comprehensive status abnormality index, and obtain the abnormality level, and obtain the corresponding anti-peeping solution according to the abnormality level, thereby realizing the technology of the self-service police terminal based on the intelligent anti-peeping algorithm.

[0047] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0048] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0049] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0050] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0051] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A self-service police terminal method based on an intelligent anti-peeping algorithm, characterized in that: The following steps are involved: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, and process it to obtain the behavior abnormality index; Acquire environmental characteristic data of the area where the target operator is located, and process to obtain an environmental interference anomaly index; Acquire the device status data of the preset self-service police terminal, and process to obtain the device status abnormality index; Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; The corresponding anti-peeping solution is obtained according to the abnormality level.

2. The self-service police terminal method based on the intelligent anti-peeping algorithm according to claim 1 is characterized in that: The collecting of the behavior monitoring information of the target operator when using the preset self-service police terminal, extracting the behavior characteristic data, and processing to obtain the behavior abnormality index includes: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data; The behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; Acquire behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; Performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; The abnormal behavior index is obtained by processing the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data and the head rotation frequency deviation value data.

3. The self-service police terminal method based on the intelligent anti-peeping algorithm according to claim 2 is characterized in that: The step of acquiring the environmental characteristic data of the area where the target operator is located and processing to obtain the environmental interference anomaly index includes: Acquire environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; Obtain the minimum spacing setting value data and the maximum stagnation time setting value data; Comparing the minimum spacing data with the minimum spacing setting value data, obtaining minimum spacing deviation value data; Comparing the maximum stagnation time length data with the maximum stagnation time length setting value data, obtaining maximum stagnation time length deviation value data; The environmental interference anomaly index is obtained by processing the minimum spacing deviation value data and the maximum stagnation time deviation value data.

4. The self-service police terminal method based on the intelligent anti-peeping algorithm according to claim 3 is characterized in that: The step of obtaining the device status data of the preset self-service police terminal and processing to obtain the device status abnormality index includes: Obtaining device status data of the preset self-service police terminal, including screen brightness change rate data and number of login failures data; Obtain device status setting data, including screen brightness change rate setting data and login failure count setting data; Perform corresponding comparison processing according to the device status data combined with the device status setting value data to obtain screen brightness change rate deviation value data and login failure number deviation value data; The device status abnormality index is obtained by processing the screen brightness change rate deviation value data and the login failure number deviation value data.

5. The self-service police terminal method based on the intelligent anti-peeping algorithm according to claim 4 is characterized in that: The processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain the system comprehensive state abnormality index and obtain the abnormality level, including: Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index; Comparing the system comprehensive state abnormality index with the system comprehensive state abnormality threshold to obtain a comparison result; Obtaining a corresponding abnormality level according to the comparison result; If the comparison result is less than or equal to the first preset threshold, the abnormality level is a first-level abnormality; If the comparison result is greater than the first preset threshold and less than the second preset threshold, the abnormality level is a level 2 abnormality; If the comparison result is greater than or equal to the second preset threshold, the abnormality level is a third-level abnormality.

6. The self-service police terminal method based on the intelligent anti-peeping algorithm according to claim 5 is characterized in that: The obtaining a corresponding anti-peeping solution according to the abnormality level includes: If the abnormality level is a level one abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the preset self-service police terminal issuing a voice prompt to remind the target operator to pay attention; If the abnormality level is a level 2 abnormality, a corresponding anti-peeping solution is obtained and a response process is performed, including the system immediately pausing the operation interface and displaying a warning on the screen of the preset self-service police terminal; If the abnormality level is level three, the corresponding anti-peeping solution is obtained and response processing is performed, including the system fuzzy operation interface, and the preset self-service police terminal issues an alarm and sends it to the background.

7. The self-service police terminal system based on intelligent anti-peeping algorithm is characterized by: The system includes: a memory and a processor, wherein the memory includes a program of a self-service police terminal method based on an intelligent anti-peeping algorithm, and when the program of the self-service police terminal method based on an intelligent anti-peeping algorithm is executed by the processor, the following steps are implemented: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, extract the behavior feature data, and process it to obtain the behavior abnormality index; Acquire environmental characteristic data of the area where the target operator is located, and process to obtain an environmental interference anomaly index; Acquire the device status data of the preset self-service police terminal, and process to obtain the device status abnormality index; Processing is performed according to the behavior abnormality index, the environmental interference abnormality index and the device state abnormality index to obtain a system comprehensive state abnormality index and obtain an abnormality level; The corresponding anti-peeping solution is obtained according to the abnormality level.

8. The self-service police terminal system based on the intelligent anti-peeping algorithm according to claim 7 is characterized in that: The collecting of the behavior monitoring information of the target operator when using the preset self-service police terminal, extracting the behavior characteristic data, and processing to obtain the behavior abnormality index includes: Collect the behavior monitoring information of the target operator when using the preset self-service police terminal, and extract the behavior feature data; The behavior characteristic data includes the maximum stay time data, operation frequency data, sight deviation angle data and head rotation frequency data of the target operator; Acquire behavior characteristic setting value data corresponding to the behavior characteristic data, including stay time setting value data, operation frequency setting value data, sight deviation angle setting value data, and head rotation frequency setting value data; Performing corresponding comparison processing according to the behavior characteristic data and the behavior characteristic setting value data to obtain behavior characteristic deviation value data, including stay time deviation value data, operation frequency deviation value data, sight deviation angle deviation value data and head rotation frequency deviation value data; The abnormal behavior index is obtained by processing the dwell time deviation value data, the operation frequency deviation value data, the sight line deviation angle deviation value data and the head rotation frequency deviation value data.

9. The self-service police terminal system based on the intelligent anti-peeping algorithm according to claim 8 is characterized in that: The step of acquiring the environmental characteristic data of the area where the target operator is located and processing to obtain the environmental interference anomaly index includes: Acquire environmental characteristic data of the area where the target operator is located, including minimum distance data between other users and the target operator and maximum stagnation time data of other users; Obtain the minimum spacing setting value data and the maximum stagnation time setting value data; Comparing the minimum spacing data with the minimum spacing setting value data, obtaining minimum spacing deviation value data; Comparing the maximum stagnation time length data with the maximum stagnation time length setting value data, obtaining maximum stagnation time length deviation value data; The environmental interference anomaly index is obtained by processing the minimum spacing deviation value data and the maximum stagnation time deviation value data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a self-service police terminal method program based on an intelligent anti-peeping algorithm. When the self-service police terminal method program based on an intelligent anti-peeping algorithm is executed by a processor, the steps of the self-service police terminal method based on an intelligent anti-peeping algorithm as described in any one of claims 1 to 6 are implemented.

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