Customer behavior monitoring and analyzing system

Abstract

The invention discloses a customer behavior monitoring and analysis system which comprises a human body behavior recognition and acquisition module, a human body intelligent AI behavior generation module, a human body AI editing module, a human body AI modeling display module, a financial institution environment AI three-dimensional generation module, a human body abnormal behavior database, a human body feature acquisition module, a human body feature AI generation module and a master controller. The controller is electrically connected with the human body behavior recognition and acquisition module, the human body intelligent AI behavior generation module, the human body AI editing module, the human body AI modeling display module, the financial institution environment AI three-dimensional generation module, the human body feature acquisition module, the human body feature AI generation module and the human body abnormal behavior database. The device is more accurate and visual in detection, lower in cost and simple in structure.

Description

Technical Field

[0001] The present invention belongs to the relevant technical field of behavior detection, and in particular relates to a customer behavior monitoring and analysis system for a financial institution. Background Art

[0002] Big data of financial institutions refers to an emerging type of financial institution that relies heavily on data resources to realize businesses such as financing, payment and information intermediation. In the era of big data, people have found that it is very difficult to mine financial data. Most of the current financial information systems are designed using relational database systems. The reason why information systems designed using relational database systems are difficult to interconnect and have serious island problems is "heterogeneous data". Relational database theory is inherently insufficient and cannot solve the problem of "heterogeneous data". However, current research work mainly focuses on the description and analysis of customer behavior data, without paying attention to abnormal behavior.

[0003] Therefore, there is a method for analyzing abnormal behavior of bank customers disclosed in patent application No. 201910419056.3, which includes: integrating and processing all customer behavior data by combining modern information technology with professional field development technology, studying the scope of behavioral impact, and scientifically modeling customer behavior information based on SVM algorithm and rough set, and timely reminding customers with abnormal behavior. In this way, the present invention can dynamically and scientifically manage customer behavior data, thereby significantly improving customer service levels, enhancing the rapid response and adaptability of the banking industry, reducing the operating costs and risks of the banking industry, and bringing huge indirect economic and social benefits.

[0004] However, the above-mentioned prior art methods still have inaccurate detection during use, and the behavior analysis algorithm involved needs to combine RS and SVM algorithms, which is relatively complex and therefore needs to be improved. Summary of the invention

[0005] The purpose of the present invention is to provide a customer behavior monitoring and analysis system, which solves the problems that the existing customer behavior monitoring of financial institutions is inaccurate and the behavior analysis algorithm involved needs to combine RS and SVM algorithms, which is relatively complex.

[0006] The object of the present invention is achieved in that: The present invention is a customer behavior monitoring and analysis system, comprising the following parts: A human behavior recognition and collection module, which is used to collect and identify the human behavior of people entering the financial institution; A human intelligence AI behavior generation module, which is used to perform AI modeling on the collected human behaviors to form an AI model; Human AI editing module, used to number each AI after modeling; The human AI modeling display module is used to display the specific AI generated by the human intelligent AI behavior generation module; Financial institution environment AI 3D generation module, used to generate AI modeling of financial institution environment; Human abnormal behavior database, used to store abnormal human behavior data information; Human feature collection module, used to collect the characteristics of people entering the financial sector; Human body feature AI generation module, used to perform AI modeling on the collected human body features to form an AI model; The main controller, as the core technology, is electrically connected to the human behavior recognition and acquisition module, the human intelligent AI behavior generation module, the human AI editing module, the human AI modeling and display module, the financial institution environment AI three-dimensional generation module, the human feature acquisition module, the human feature AI generation module, and the human abnormal behavior database.

[0007] Preferably, the human body feature collection module collects human body clothing features, skin color features, and height features.

[0008] Preferably, it includes: the human AI editing module sends the human feature information collected by the human feature acquisition module to the main controller, and the main controller automatically generates human AI and numbers it through the human feature AI generation module according to the feature information sent by the human AI editing module, and each human AI contains the user's human feature information and a specific number, and is displayed in the three-dimensional AI of the financial institution environment.

[0009] Preferably, it includes: the human behavior recognition and acquisition module searches for the corresponding user according to the specific number, then identifies the human behavior of the user and sends it to the main controller, the main controller sends it to the human intelligent AI behavior generation module according to the acquired human behavior, the human intelligent AI behavior generation module performs AI modeling according to the human behavior and maps it to the corresponding human AI for display.

[0010] As a preference, it includes: The main controller identifies the human body AI in the AI ​​3D environment of the financial institution and compares it with the acquired AI human body behavior image to determine whether the specific user has abnormal human behavior and obtain the AI ​​human body behavior image; The abnormal human behavior status in the abnormal human behavior database is retrieved, and then compared with the obtained AI human behavior image to determine whether a specific user has abnormal human behavior.

[0011] Preferably, in order to further improve the detection accuracy and safety, the main controller is also connected to a human expression detection module and a hand state detection module. The human expression detection module is used to detect the expression and emotional fluctuations of the current user, and the hand state detection module is used to detect whether the user carries abnormal objects in his hands.

[0012] Preferably, the specific steps of comparing with the acquired AI human behavior image to determine whether a specific user has abnormal human behavior are as follows: S1, pre-create an abnormal state image of human behavior and action, and create an abnormal state threshold Sm; S2. Then, the real-time abnormal state quantity value is obtained according to the abnormal state formula; S=∑(Q0+Q n )+T; Among them, S represents the number of abnormal states, Q is the total number of abnormalities; n is Q-1, which is a constant; T is the deviation rate, which is a specific constant.

[0013] Preferably, the human behavior recognition and acquisition module, the human feature acquisition module and the main controller are connected by wireless communication.

[0014] Preferably, the main controller is also connected to an infrared camera, and the infrared camera is used to detect whether the items carried by the human body are abnormal.

[0015] Preferably, the main controller is also connected to a remote monitoring system.

[0016] Positive and beneficial effects: The configuration of the present invention can realize rapid detection of abnormal personnel entering financial institutions, and the detection method is directly updated in real time, while performing real-time detection and simulating abnormal personnel situations through AI, ultimately achieving more accurate, more accurate and intuitive detection, and without the need for complex algorithms, making the entire structure simpler and less costly. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a connection diagram of a customer behavior monitoring and analysis system in Example 1; Figure 2 This is a connection diagram of a customer behavior monitoring and analysis system in Example 2; Figure 3 This is a connection diagram of a customer behavior monitoring and analysis system in Example 3; Figure 4 This is a connection diagram of a customer behavior monitoring and analysis system in Example 4.

[0018] Reference numerals: Human behavior recognition and acquisition module 1, human intelligent AI behavior generation module 2, human AI editing module 3, human AI modeling and display module 4, financial institution environment AI three-dimensional generation module 5, human feature acquisition module 6, human abnormal behavior database 7, human feature AI generation module 8, main controller 9, human expression detection module 10, hand state detection module 11, infrared camera 12, remote monitoring system 13. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described in combination with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0020] See also Figure 1 As shown, a customer behavior monitoring and analysis system disclosed in this embodiment includes the following parts: A human behavior recognition and collection module 1, wherein the human behavior recognition and collection module 1 is used to recognize and collect the human behavior of people entering a financial institution; A human intelligence AI behavior generation module 2, wherein the human intelligence AI behavior generation module 2 is used to perform AI modeling on the collected human behaviors to form an AI model; Human AI editing module 3 is used to number each AI after modeling; The human AI modeling display module 4 is used to display the specific AI generated by the human intelligent AI behavior generation module 2; Financial institution environment AI three-dimensional generation module 5, used for AI modeling and generating financial institution environment; Human body abnormal behavior database 7, used to store human body abnormal behavior data information; Human feature collection module 6, used to collect the characteristics of people entering the financial institution; A human body feature AI generation module 8 is used to perform AI modeling on the collected human body features to form an AI model; The main controller 9, as the core technology, is electrically connected to the human behavior recognition and acquisition module 1, the human intelligent AI behavior generation module 2, the human AI editing module 3, the human AI modeling and display module 4, the financial institution environment AI three-dimensional generation module 5, the human feature acquisition module 6, the human feature AI generation module 8, and the human abnormal behavior database 7.

[0021] Preferably, the human body feature collection module 6 collects human body clothing features, skin color features, and height features.

[0022] Preferably, it includes: the human AI editing module 3 sends the human feature information collected by the human feature acquisition module 6 to the main controller 9; the main controller 9 automatically generates human AI and numbers it through the human feature AI generation module 8 according to the feature information sent by the human AI editing module 3; each human AI contains the human feature information and a specific number of the user, and is displayed in the three-dimensional AI of the financial institution environment.

[0023] Preferably, it includes: the human behavior recognition and acquisition module 1 searches for the corresponding user according to a specific number, then identifies the human behavior of the user and sends it to the main controller 9, the main controller 9 sends it to the human intelligent AI behavior generation module 2 according to the acquired human behavior, the human intelligent AI behavior generation module 2 performs AI modeling according to the human behavior and maps it to the corresponding human AI for display.

[0024] As a preference, it includes: The main controller 9 identifies the human body AI in the three-dimensional AI environment of the financial institution and compares it with the acquired AI human body behavior image to determine whether the specific user has abnormal human behavior, and obtains the AI ​​human body behavior image; The abnormal human behavior status in the abnormal human behavior database 7 is retrieved, and then compared with the acquired AI human behavior image to determine whether a specific user has abnormal human behavior.

[0025] Preferably, the specific steps of comparing with the acquired AI human behavior image to determine whether a specific user has abnormal human behavior are as follows: S1, pre-create an abnormal state image of human behavior and action, and create an abnormal state threshold Sm; S2. Then, the real-time abnormal state quantity value is obtained according to the abnormal state formula; S=∑Q0+Q n +T; Among them, S represents the number of abnormal states, Q is the total number of abnormalities; n is Q-1, which is a constant; T is the deviation rate, which is a specific constant.

[0026] Preferably, the human behavior recognition and acquisition module 1, the human feature acquisition module 6 and the main controller 9 are connected by wireless communication.

[0027] The specific working principle of the present invention is as follows: first, the financial institution environment AI three-dimensional generation module 5 is used to perform AI modeling on the financial institution environment, and then the financial institution environment modeling is displayed through the human body AI modeling display module 4. Then, the human body feature collection module 6 is used to collect the characteristics of the people entering the financial institution, and the collected human body features are AI modeled to form an AI model. At the same time, the human body AI editing module 3 is used to number each AI after modeling, and the AI ​​model and the corresponding number are displayed in the financial institution environment AI three-dimensional model. Then, the human body behavior recognition and collection module 1 is used to collect the human body behavior of the people entering the financial institution, and the collected human behavior is collected by the human body intelligent AI behavior generation module 2. AI modeling constructs an AI model and then puts its corresponding numbered AI human body on it; then the behavior of the corresponding numbered AI is judged in real time and compared with the abnormal behavior pre-stored in the human body abnormal behavior database 7. Once the corresponding numbered AI human body is found to have abnormal behavior, the specific position and specific characteristics of the numbered AI human body are immediately retrieved to quickly find the person with the corresponding abnormal behavior in real time. Therefore, through the setting of the present invention, it is possible to quickly find the abnormal situation of people entering the financial institution, and the detection method is directly updated in real time, and at the same time, real-time detection and simulation of abnormal personnel situations are performed through AI, so that the detection is finally more accurate, more accurate and intuitive, and no complex algorithms are required, making the entire structure simpler and the cost lower. Example 2

[0028] See also Figure 2 As shown, the general structure of a customer behavior monitoring and analysis system disclosed in this embodiment is the same as that of Embodiment 1, except that, as a preference, in order to further improve the detection accuracy and safety, the main controller 9 is also connected to a human expression detection module 10 and a hand state detection module 11, the human expression detection module 10 is used to detect the expression and emotional fluctuations of the current user, and the hand state detection module 11 is used to detect whether the user carries abnormal items in his hands. In this embodiment, by adding the human expression detection module 10, the expression and emotional fluctuations of the current user can be detected in time to improve the security management of the financial institution in the later stage. At the same time, by using the hand state detection module 11 to detect whether the user carries abnormal items in his hands, further safety reminders are given to further improve the later security. Example 3

[0029] See also Figure 3As shown, the general structure of a customer behavior monitoring and analysis system disclosed in this embodiment is the same as that of Embodiment 1. Preferably, the main controller 9 is also connected to an infrared camera 12, and the infrared camera 12 is used to detect whether the items carried by the human body are abnormal. In this embodiment, the infrared camera 12 is used to detect whether the user entering the financial institution carries abnormal items in his hands, which further provides security reminders and further improves the subsequent security. Example 4

[0030] See also Figure 4 As shown, the general structure of a customer behavior monitoring and analysis system disclosed in this embodiment is the same as that of Embodiment 1. Preferably, the main controller 9 is also connected to a remote monitoring system 13. In this embodiment, the subsequent remote control is realized by adding the remote monitoring system 13, thereby further improving the operational convenience.

[0031] The above are only preferred embodiments of the present invention and do not limit the present invention. Any modification to the technical solutions recorded in the aforementioned embodiments, any equivalent replacement of some of the technical features therein, and any modification, equivalent replacement, and improvement made are all within the protection scope of the present invention.

Claims

1. A customer behavior monitoring and analysis system, characterized in that: Includes the following parts: A human behavior recognition and collection module (1), wherein the human behavior recognition and collection module (1) is used to collect and identify the human behavior of persons entering a financial institution environment; A human intelligence AI behavior generation module (2), wherein the human intelligence AI behavior generation module (2) is used to perform AI modeling on the collected human behaviors to form an AI model; The human AI editing module (3) is used to number each AI after modeling; A human AI modeling display module (4) is used to display the specific AI generated by the human intelligent AI behavior generation module (2); Financial institution environment AI three-dimensional generation module (5), used for AI modeling and generating financial institution environment; Human abnormal behavior database (7), used to store abnormal human behavior data information; A human feature collection module (6) is used to collect features of people entering the financial institution environment; A human body feature AI generation module (8), used for performing AI modeling on the collected human body features to form an AI model; The main controller (9) is a core technology. The controller is electrically connected to the human behavior recognition and acquisition module (1), the human intelligent AI behavior generation module (2), the human AI editing module (3), the human AI modeling and display module (4), the financial institution environment AI three-dimensional generation module (5), the human feature acquisition module (6), the human feature AI generation module (8), and the human abnormal behavior database (7).

2. A customer behavior monitoring and analysis system according to claim 1, characterized in that: The human body feature collection module (6) collects human body clothing features, skin color features, and height features.

3. A customer behavior monitoring and analysis system according to claim 1, characterized in that: include: The human AI editing module (3) sends the human feature information collected by the human feature collection module (6) to the main controller (9). The main controller (9) automatically generates human AI and numbers it through the human feature AI generation module (8) based on the feature information sent by the human AI editing module (3). Each human AI contains the human feature information of the user and a specific number, and is displayed in the three-dimensional AI of the financial institution environment.

4. A customer behavior monitoring and analysis system according to claim 1, characterized in that: include: The human behavior recognition and acquisition module (1) searches for a corresponding user according to a specific number, then identifies the human behavior of the user and sends it to the main controller (9). The main controller (9) sends the acquired human behavior to the human intelligent AI behavior generation module (2). The human intelligent AI behavior generation module (2) performs AI modeling according to the human behavior and maps it to the corresponding human AI for display.

5. A customer behavior monitoring and analysis system according to claim 1, characterized in that: include: The main controller (9) identifies the human body AI in the AI ​​three-dimensional environment of the financial institution and compares it with the obtained AI human body behavior image to determine whether the specific user has abnormal human behavior, and obtains the AI ​​human body behavior image; The abnormal human behavior status in the abnormal human behavior database (7) is retrieved, and then compared with the obtained AI human behavior image to determine whether the specific user has abnormal human behavior.

6. A customer behavior monitoring and analysis system according to claim 1, characterized in that: The main controller (9) is also connected to a human expression detection module (10) and a hand state detection module (11); the human expression detection module (10) is used to detect the current user's expression and emotional fluctuations; and the hand state detection module (11) is used to detect whether the user is carrying an abnormal object in his hand.

7. A customer behavior monitoring and analysis system according to claim 5, characterized in that: The specific steps for comparing with the acquired AI human behavior image to determine whether a specific user has abnormal human behavior are as follows: S1, pre-create an abnormal state image of human behavior and action, and create an abnormal state threshold Sm; S2. Then, the real-time abnormal state quantity value is obtained according to the abnormal state formula; S=∑(Q0+Q n )+T; Among them, S represents the number of abnormal states, Q is the total number of abnormalities; n is Q-1, which is a constant; T is the deviation rate, which is a specific constant.

8. A customer behavior monitoring and analysis system according to claim 5, characterized in that: The human behavior recognition and acquisition module (1), the human feature acquisition module (6) and the main controller (9) are all connected by wireless communication.

9. A customer behavior monitoring and analysis system according to claim 5, characterized in that: The main controller (9) is also connected to an infrared camera (12), and the infrared camera (12) is used to detect whether an item carried by a person is abnormal.

10. A customer behavior monitoring and analysis system according to claim 5, characterized in that: The main controller (9) is also connected to a remote monitoring system (13).

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