An information management system based on human body characteristics

Abstract

The present invention discloses an information management system based on human characteristics, which relates to the technical field of information management. The system comprises a basic data collection module, a data storage module, a data acquisition module, a data analysis module and a notification module. The present invention pre-collects the human characteristic data and personal detailed information of each student by setting up the basic data collection module; sets up the data storage module to use a relational database to store the correspondence between the student ID number and the human characteristic data and personal detailed information; sets up the data acquisition module to collect video data of the road surface and the school gate in real time on campus; sets up the data analysis module to analyze whether the person appearing in the video is a student and whether the person triggers an illegal behavior such as lateness, skipping class or curfew violation based on the video data in each time period. The problem of intelligent supervision of student illegal behavior is solved.

Description

Technical Field

[0001] The present invention belongs to the field of information management, relates to human feature recognition technology, and specifically is an information management system based on human features. Background Art

[0002] As Internet of Things (IoT) technology matures, introducing IoT into campuses is becoming a growing trend. In particular, real-time monitoring cameras are added to campuses, which can ensure the safety of students on campus in real time. However, with the rise of artificial intelligence technology, the use of surveillance cameras solely for security is too simple. Currently, there is still a lack of a method system for intelligently monitoring students' violations on campus through cameras.

[0003] Therefore, an information management system based on human body characteristics is proposed. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an information management system based on human characteristics, which includes a basic data collection module that pre-collects the human characteristics data and personal details of each student; a data storage module that uses a relational database to store the correspondence between student ID numbers and the human characteristics data and personal details; a data acquisition module that collects video data of the road surface and the school gate in real time; and a data analysis module that analyzes the video data in each time period to determine whether the person appearing in the video is a student and whether the person triggers an illegal behavior such as being late, skipping classes, or violating curfew. This solves the problem of intelligently monitoring student illegal behavior.

[0005] To achieve the above-mentioned object, according to an embodiment of the first aspect of the present invention, an information management system based on human characteristics is provided, comprising a basic data collection module, a data storage module, a data acquisition module, a data analysis module, and a notification module; wherein the modules are connected to each other via an electrical or wireless network;

[0006] The basic data collection module is mainly used to collect basic personal information of all students;

[0007] The basic data collection module manually collects the human characteristics data and personal details of each student in advance; the personal details include the student's student ID number, student name, parent's name, parent's contact information, class, class teacher's name, class teacher's contact information, and course schedule; the course schedule includes the detailed start and end time of each class for each student on that day; the basic data collection module sends the collected basic personal information of the students to the data storage module;

[0008] The data storage module is mainly used to store students' personal details and body feature data using a relational database;

[0009] The data storage module uses the student ID number as the primary key and the student name, parent name, parent contact information, class, class teacher name, class teacher contact information, and course schedule as attributes to construct a student personal detailed information table; and saves the corresponding student data collected by the basic data collection module in the personal detailed information table; the data storage module stores the corresponding relationship between each student ID number and the human body feature data collected by the basic data collection module;

[0010] The data acquisition module is mainly used to obtain the flow of people inside the campus in real time;

[0011] The data acquisition module includes image capture devices installed at various locations within the campus; the image capture devices may be surveillance cameras installed on streetlights and school gates on various sections of the campus; the image capture devices capture real-time video of the campus roads and school gates, and send the captured video to the data analysis module in real time for analysis of the people appearing in the video;

[0012] The data analysis module is mainly used to analyze the true identity of the students appearing in the surveillance video and determine whether the students have violated the rules;

[0013] The data analysis module analyzes the true identity of the students appearing in the surveillance video, including the following steps:

[0014] Step S1: Every N video frames, use the target recognition algorithm to determine whether there is a person in the surveillance video; if there is a person, go to step S2; where N is the frame number cycle determined according to the actual calculation time required by the target recognition algorithm;

[0015] Step S2: using image analysis technology to capture a person from the video and obtain the person's body feature data;

[0016] Step S3: Compare the human feature data appearing in the video with the human feature data stored in the data storage module; determine whether the stored human feature data matches the human feature data in the video; if so, obtain the student ID corresponding to the human feature data;

[0017] The data analysis module further determines whether the student has committed any violation; the violation includes being late, skipping classes, and violating curfew;

[0018] The data analysis module obtains the school start time in advance; and after the class starts, it obtains the school gate video in real time, analyzes the person who appears at the school gate and whose movement route is to enter the school gate, and further analyzes the person's true identity; if the person is a student, the target recognition algorithm is used to determine whether the person in the video is carrying a schoolbag. If so, the student is judged to be late;

[0019] In another preferred embodiment, the data analysis module obtains the start and end times of each class in advance, and obtains school road videos in real time during the start and end times of each class; analyzes the people appearing on the school road, and further analyzes the real identity of the people; if the people are students, obtains the student's student ID; obtains the student's course schedule from the data storage module based on the student ID, and obtains the student's course in the time period; if the course is not an outdoor course, it is determined that the student is skipping class; outdoor courses can be physical education courses, etc.

[0020] In another preferred embodiment, the data analysis module obtains the school curfew time in advance, and during the curfew time, obtains the school road video in real time, analyzes the people appearing on the school road, and further analyzes the real identity of the person; if the person is a student, obtains the corresponding student's student number; and determines that the student has violated the curfew;

[0021] After determining that a student has committed a violation such as being late, skipping classes, or violating curfew, the data analysis module sends the lateness information, skipping class information, and curfew violation information to the notification module; the lateness information, skipping class information, and curfew violation information all contain the student's student ID number and name information;

[0022] The notification module is mainly used to notify the class teacher and parents of the violation after the student violates the rules;

[0023] After receiving the lateness information, truancy information and curfew violation information sent by the data analysis module, the notification module sends the name, student number and violation event of the violating student through the contact information of the class teacher; the notification module counts the number of lateness information, truancy information and curfew violation information generated by each student in each semester, and at the end of the semester, sends the number of lateness, truancy and curfew violation of each student through the contact information of the corresponding student's parents.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention provides a basic data collection module to pre-collect the human feature data and personal details of each student; provides a data storage module to use a relational database to store the correspondence between the student ID number and the human feature data and personal details; provides a data acquisition module to collect video data of the road surface and the school gate in real time within the campus; provides a data analysis module to analyze whether the person appearing in the video is a student and whether the person triggers an illegal behavior such as being late, skipping classes or violating curfew based on the video data in each time period; thereby solving the problem of intelligent supervision of student illegal behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0027] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] like Figure 1 As shown, an information management system based on human characteristics includes a basic data collection module, a data storage module, a data acquisition module, a data analysis module and a notification module; wherein the basic data collection module, the data storage module, the data acquisition module, the data analysis module and the notification module are connected via an electrical or wireless network;

[0029] The basic data collection module is mainly used to collect basic personal information of all students;

[0030] In a preferred embodiment, the basic data collection module manually collects the human feature data and personal details of each student in advance; wherein the human feature data can be facial feature data collected by a facial collection device and analyzed by an image analysis program; wherein the personal details include the student's student ID number, student name, parent's name, parent's contact information, class, class teacher's name, class teacher's contact information, and course schedule; the course schedule includes the detailed start and end time of each class for each student on that day; the basic data collection module sends the collected basic personal information of the students to the data storage module;

[0031] The data storage module is mainly used to store students' personal details and body feature data using a relational database;

[0032] In a preferred embodiment, the data storage module uses the student ID number as the primary key and the student name, parent name, parent contact information, class, class teacher name, class teacher contact information, and course schedule as attributes to construct a student personal detailed information table; and stores the corresponding student data collected by the basic data collection module in the personal detailed information table; further, the data storage module stores the corresponding relationship between each student ID number and the human feature data collected by the basic data collection module; the personal detailed information table is established through a relational database; specifically, the relational database tool can be MySQL, SQL Server, or Oracle, etc.

[0033] The data acquisition module is mainly used to obtain the flow of people inside the campus in real time;

[0034] In a preferred embodiment, the data acquisition module includes image capture devices installed at various locations within the campus; the image capture devices may be surveillance cameras installed on streetlights and school gates on various sections of the campus; the image capture devices capture real-time video of the campus road surface and school gates, and send the captured video to the data analysis module in real time for analysis of the people appearing in the video.

[0035] The data analysis module is mainly used to analyze the true identity of the students appearing in the surveillance video and determine whether the students have violated the rules;

[0036] In a preferred embodiment, the data analysis module analyzes the true identity of the students appearing in the surveillance video, including the following steps:

[0037] Step S1: Every N video frames, use the target recognition algorithm to determine whether there is a person in the surveillance video; if there is a person, go to step S2; where N is the frame number cycle determined according to the actual calculation time required by the target recognition algorithm;

[0038] Step S2: using image analysis technology to capture a person from the video and obtain the person's body feature data;

[0039] Step S3: Compare the human feature data appearing in the video with the human feature data stored in the data storage module; determine whether the stored human feature data matches the human feature data in the video; if so, obtain the student ID corresponding to the human feature data;

[0040] The data analysis module further determines whether the student has committed any violation; the violation includes being late, skipping classes, and violating curfew;

[0041] In a preferred embodiment, the data analysis module obtains the school start time in advance; and after the class starts, it obtains the school gate video in real time, analyzes the person who appears at the school gate and whose movement route is to enter the school gate, and further analyzes the person's true identity; if the person is a student, the target recognition algorithm is used to determine whether the person in the video is carrying a school bag. If so, the student is judged to be late;

[0042] In another preferred embodiment, the data analysis module obtains the start and end times of each class in advance, and obtains school road videos in real time during the start and end times of each class; analyzes the people appearing on the school road, and further analyzes the real identity of the people; if the people are students, obtains the student's student ID; obtains the student's course schedule from the data storage module based on the student ID, and obtains the student's course in the time period; if the course is not an outdoor course, it is determined that the student is skipping class; outdoor courses can be physical education courses, etc.

[0043] In another preferred embodiment, the data analysis module obtains the school curfew time in advance, and during the curfew time, obtains the school road video in real time, analyzes the people appearing on the school road, and further analyzes the real identity of the person; if the person is a student, obtains the corresponding student's student number; and determines that the student has violated the curfew;

[0044] After determining that a student has committed a violation such as being late, skipping classes, or violating curfew, the data analysis module sends the lateness information, skipping class information, and curfew violation information to the notification module; the lateness information, skipping class information, and curfew violation information all contain the student's student ID number and name information;

[0045] The notification module is mainly used to notify the class teacher and parents of the violation after the student violates the rules;

[0046] In a preferred embodiment, after receiving the lateness information, truancy information and curfew violation information sent by the data analysis module, the notification module sends the name, student number and violation event of the violating student through the contact information of the class teacher; the notification module counts the number of lateness information, truancy information and curfew violation information generated by each student in each semester, and at the end of the semester, sends the number of lateness, truancy and curfew violation of each student through the contact information of the corresponding student's parents.

[0047] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An information management system based on human body characteristics, characterized in that: It includes a basic data collection module, a data storage module, a data acquisition module, a data analysis module and a notification module; wherein each module is connected through an electrical or wireless network; The basic data collection module is used to collect basic personal information of all students; the basic personal information includes human characteristics data and personal details; the basic data collection module sends the basic personal information of students to the data storage module; The data storage module is used to store students' personal details and body feature data using a relational database; The data acquisition module is used to obtain the flow of people inside the campus in real time; the data acquisition module takes videos of the campus road surface and school gate in real time, and sends the captured videos to the data analysis module in real time; The data analysis module is used to analyze the true identity of the students appearing in the surveillance video and determine whether the students have violated the rules; when a violation occurs, the data analysis module sends violation information to the notification module; The notification module is used to notify the class teacher and parents of the violation after the student violates the rules; The data analysis module determines that the student has committed violations including being late, skipping classes, and violating curfew; The data analysis module obtains the school start time in advance; and after the class starts, obtains the school gate video in real time, analyzes the person who appears at the school gate and whose movement route is to enter the school gate, and further analyzes the person's true identity; if the person is a student, the target recognition algorithm is used to determine whether the person in the video is carrying a schoolbag. If so, the student is judged to be late; or: The data analysis module obtains the start and end times of each class in advance and obtains real-time school road video during the start and end times of each class; analyzes the people appearing on the school road and further analyzes the real identity of the people; if the people are students, obtains the corresponding student's student ID; obtains the student's course schedule from the data storage module based on the student ID and obtains the student's course in the time period; if the course is not an outdoor course, determines that the student is skipping class; or: The data analysis module obtains the school curfew time in advance, and obtains the school road video in real time during the curfew time, and analyzes the people appearing on the school road to analyze the real identity of the people; if the person is a student, obtains the corresponding student number; and determines that the student has violated the curfew; After determining that the student has committed the illegal behaviors of being late, skipping classes, and violating curfew, the data analysis module sends the lateness information, the skipping class information, and the curfew violation information to the notification module respectively.

2. The information management system based on human characteristics according to claim 1, characterized in that: Personal details include student ID number, student name, parent name, parent contact information, class, class teacher's name, class teacher's contact information and course schedule.

3. The information management system based on human characteristics according to claim 1, characterized in that: The data storage module uses the student ID number as the primary key and the student name, parent name, parent contact information, class, class teacher's name, class teacher's contact information and course schedule as attributes to construct a student personal detailed information table; and saves the corresponding student data in the personal detailed information table; the data storage module stores the correspondence between each student ID number and the human body feature data collected by the basic data collection module.

4. The information management system based on human characteristics according to claim 1, characterized in that: The data analysis module analyzes the true identity of the students appearing in the surveillance video, including the following steps: Step S1: Every N video frames, use the target recognition algorithm to determine whether there is a person in the surveillance video; if there is a person, go to step S2; where N is the frame number cycle determined according to the actual calculation time required by the target recognition algorithm; Step S2: using image analysis technology to capture a person from the video and obtain the person's body feature data; Step S3: Compare the human feature data appearing in the video with the human feature data stored in the data storage module; determine whether the stored human feature data is consistent with the human feature data in the video, and if so, obtain the student ID number corresponding to the human feature data.

5. The information management system based on human characteristics according to claim 1, characterized in that: After receiving the lateness information, truancy information and curfew violation information sent by the data analysis module, the notification module sends the name, student number and violation event of the violating student through the contact information of the class teacher; the notification module counts the number of lateness information, truancy information and curfew violation information generated by each student in each semester, and at the end of the semester, sends the number of lateness, truancy and curfew violation of each student through the contact information of the corresponding student's parents.

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