Intelligent campus monitoring equipment for student management

Abstract

The utility model discloses campus intelligent monitoring equipment for student management, which comprises a big data processing module, a data acquisition module is connected to the data input end of the big data processing module, and a face recognition module and a safety monitoring module are connected to the data input end of the data acquisition module. The face recognition module and the safety monitoring module are distributed at preset monitoring points in a campus, a data output end of the big data processing module is connected with a visual monitoring platform, and the big data processing module is further connected with a clock module. And the big data processing module performs data interaction with the warning terminal and the early warning module through the communication module. The system has the remarkable effects that dangerous behaviors of students are identified and warned in a targeted manner, so that the students are more effectively frightened, and the purpose of safety management of the students is achieved.

Description

Technical Field

[0001] The utility model relates to the technical field of campus monitoring, in particular to an intelligent campus monitoring device for student management. Background Art

[0002] Campus monitoring is the use of monitoring equipment to conduct all-round, full-HD video three-dimensional management and monitoring of school premises, so as to monitor students' classroom behavior, outdoor behavior and behavior in and out of the school in real time, making it easier for schools to manage students and ensure that students carry out normal behavior activities in school.

[0003] However, the monitoring equipment currently installed in schools can only remotely monitor and record students' behavior. It has a low level of intelligence and cannot identify and alarm students' dangerous behaviors. It cannot use the intelligent recognition system of student behavior to assist school administrators in managing students' behavior in school, which brings great inconvenience to school administrators in managing students' behavior in school. Summary of the invention

[0004] In view of the deficiencies of the prior art, the purpose of the utility model is to provide a campus intelligent monitoring device for student management, which manages the behavior of students on campus based on face recognition technology, so as to effectively overcome the defects of the prior art.

[0005] In order to achieve the above purpose, the technical solution adopted by the utility model is as follows:

[0006] A campus intelligent monitoring device for student management, the key of which is: comprising a big data processing module, the data input end of the big data processing module is connected to a data acquisition module, the data input end of the data acquisition module is connected to a face recognition module and a security monitoring module, the face recognition module and the security monitoring module are distributed at various monitoring points preset in the campus, the data output end of the big data processing module is connected to a visual monitoring platform, the big data processing module is also connected to a clock module, the big data processing module also exchanges data with an alarm terminal and an early warning module through a communication module, the alarm terminal is arranged at various monitoring points preset in the campus and / or in the hands of responsible persons in various areas of the campus, and the early warning module is arranged at various monitoring points preset in the campus and / or worn by various students.

[0007] Furthermore, the data input end of the data acquisition module is also connected to an environment monitoring module and a door access monitoring module.

[0008] Furthermore, the monitoring screen displayed by the visual monitoring platform can be switched to the screen and information obtained by the face recognition module, security monitoring module, environment monitoring module or access control monitoring module.

[0009] Furthermore, the security monitoring module and the access control monitoring module are arranged at the gate of the campus and the gates of each building on campus, wherein the security monitoring module includes a temperature collection unit for collecting temperature data of people entering and leaving the campus and each building on campus.

[0010] Furthermore, the big data processing module also communicates and interconnects with the cloud server through the communication module.

[0011] Furthermore, the big data processing module is also connected to a background management module.

[0012] The remarkable effects of the utility model are:

[0013] 1. This device acquires the actions and behaviors of students on campus through the security monitoring module to generate a student learning portrait; at the same time, the face recognition module collects face information of each monitoring point in real time. The big data processing module uploads the acquired information data to the cloud server and combines it with the location movement information to monitor the student's activity range and make dangerous action judgments. If it is judged that the student is performing dangerous behaviors such as crossing fences and fighting, the face information is recognized and analyzed to identify and alarm the student who is performing dangerous behaviors, so as to timely discover risky behaviors and send an early warning to the school, teachers or parents and other designated objects within a preset time, such as 3 seconds, to achieve the purpose of student safety management.

[0014] 2. By cooperating with the face recognition module, clock module and early warning module, it is possible to time according to the course schedule, and send a signal to the big data processing module when the timing node is reached. The location of the student is determined based on the information sent by the clock module. If the student is not where he should be, an early warning signal is generated to the early warning module. For example, if a student has not arrived in the classroom during class time, a late warning and reminder can be issued; it can also issue early warnings of fires, floods and other disasters based on the environmental monitoring data collected by the environmental monitoring module.

[0015] 3. The access control monitoring modules installed at the school gate and various buildings integrate the heavy video monitoring and recording functions of the traditional monitoring system. They can also monitor the security environment on campus in real time and identify people entering and leaving the campus and specific buildings on campus. They can effectively prevent illegal entry of non-school personnel and irrelevant personnel, thereby eliminating safety hazards.

[0016] 4. The security monitoring module can collect the temperature, humidity and air quality in the campus in real time, monitor and control all the lighting and heating in the campus, and transmit the information to teachers and students in real time, thus effectively improving the intelligence of the equipment.

[0017] 5. This device can interact with the cloud server through the communication module, so that the face recognition process can be carried out in the cloud, which can effectively reduce the deployment cost of this device. At the same time, it can also store the monitoring data in the cloud, reducing the data management cost and improving the security of data storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a principle block diagram of the utility model. DETAILED DESCRIPTION

[0019] The specific implementation manner and working principle of the utility model are further described in detail below with reference to the accompanying drawings.

[0020] like Figure 1 As shown, a campus intelligent monitoring device for student management includes a face recognition module, a security monitoring module, an environment monitoring module, an access control monitoring module, a data acquisition module, a visual monitoring platform, a big data processing module, a background management module, a clock module, a cloud server, an alarm terminal and an early warning module. The data output ends of the face recognition module, the security monitoring module, the environment monitoring module and the access control monitoring module are all connected to the data input end of the data acquisition module. The data output end of the data acquisition module is connected to the data input end of the big data processing module. The data output end of the big data processing module is connected to the visual monitoring platform. The big data processing module is also connected to the clock module. The big data processing module also interacts with the cloud server, the alarm terminal and the early warning module through the communication module. Specifically:

[0021] The face recognition module and the security monitoring module are distributed at various monitoring points preset in the campus, such as the campus gate, the gates of various buildings in the campus, and key locations on each floor of buildings such as office buildings, teaching buildings, laboratory buildings, and dormitory buildings. The face recognition module is used to monitor the student activity range through the face information collected in real time at each monitoring point, combined with the position movement information; the security monitoring module is used to obtain the action behavior of students in the campus;

[0022] The environmental monitoring module is installed on the roofs of various buildings on campus, as well as in various classrooms, dormitories, laboratories, etc. It is used to collect the temperature, humidity and air quality of each monitoring point on campus in real time, and complete the monitoring and control of all lighting and heating on campus;

[0023] The access control monitoring module is installed at the gate of the campus and the gates of each building on campus, and is used to collect identity information of people entering and leaving the campus and each building on campus, and complete the opening and closing control of the gate;

[0024] The data acquisition module is a data relay device such as a gateway, which is used to obtain data collected by each module from the face recognition module, the environment monitoring module, the security monitoring module, and the access control monitoring module, and upload the data to the big data processing module;

[0025] The clock module is integrated with the big data processing module, and is used to time according to the course schedule, and send a signal to the big data processing module when a timing node is reached;

[0026] The big data processing module is arranged in the central control room or other special rooms of the campus, and is used to process the data obtained by the data acquisition module, and send them to the visual monitoring platform and the communication module respectively, and send warning information to the warning terminal when the cloud server determines that there are dangerous actions during the monitoring process. Specifically: the action behavior data of the students obtained by the security monitoring module and the student face information collected by the face recognition module are processed and sent to the cloud server; at the same time, the position where the students should be is determined according to the information sent by the clock module. If the students are not at the position where they should be, an early warning signal is generated to the early warning module. For example, if a student has not arrived in the classroom during class time, a late warning and reminder can be issued; according to the environmental monitoring data collected by the environmental monitoring module, early warnings of fire, floods and other disasters are issued; according to the monitoring data collected by the access control monitoring module, it is determined whether the personnel entering the campus gate and the gates of various buildings on campus are legal, and an illegal intrusion alarm signal is generated if illegal intrusion occurs;

[0027] The visual monitoring platform is located in the central control room or other special rooms of the campus or in the outer wall or corridor of the building on campus, and is used to decode and display the data sent by the big data processing module, and the monitoring screen displayed by the visual monitoring platform can be switched to the screen and information obtained by the face recognition module, the environment monitoring module, the security monitoring module or the access control monitoring module;

[0028] The backend management module is located in the administrator's office and is used to manage the various modules and related data in the device, such as adding, deleting and modifying the information of students, teachers and campus staff, setting the authority of each person, selecting and setting the module of the warning information of the warning terminal, and editing the warning conditions in the backend;

[0029] The cloud server is located in the cloud and is used to process the data sent by the big data processing module, including judging the dangerousness of the actions and behaviors of students on campus collected by the security monitoring module (in specific implementation, the dangerous actions can be recorded in the cloud server and compared with the actions and behaviors during real-time monitoring), and feeding back the judgment results to the big data processing module through the communication module; and saving the data collected during the monitoring process of this device, including the video monitoring data when the dangerous actions and behaviors occur, for the convenience of keeping evidence and subsequent viewing;

[0030] The warning terminal is set at each preset monitoring point in the campus and held by the responsible person of each area in the campus, and is used to play and display the warning information and illegal intrusion alarm signal issued by the big data processing module;

[0031] The early warning module is arranged at various preset monitoring points in the campus and / or worn by each student, and is used to remind students or warn of danger according to the early warning signal issued by the big data processing module.

[0032] In specific implementation, the system includes a temperature collection unit for collecting temperature data of people entering and leaving the campus and various buildings within the campus, so as to promptly discover and handle outbreaks of infectious diseases such as influenza to prevent the disease from spreading and affecting campus safety.

[0033] Preferably, the warning terminal can be an audible and visual alarm, a display screen, a voice alarm or a handheld mobile terminal. When it is a handheld mobile terminal, it can be a mobile phone of a class teacher, a teaching teacher, an area safety manager, an area safety responsible person and the like, and can interact with the communication module through text messages, WeChat or other APPs; the early warning module can be an audible and visual alarm, a voice alarm or a wearable watch.

[0034] The working principle of this device during use is:

[0035] First, the corresponding monitoring data on campus are collected through the face recognition module, environmental monitoring module, security monitoring module, and access control monitoring module;

[0036] Then, the monitoring data collected by each module is obtained through the data acquisition module and uploaded to the big data processing module;

[0037] Next, the big data processing module processes the monitoring data in different ways, including: sending the monitoring data to the visual monitoring platform for display, uploading the actions of students on campus collected by the security monitoring module to the cloud server for dangerous action judgment, thereby monitoring some of the student behaviors within the specified range, such as crossing fences, fighting and other dangerous behaviors, and sending the facial information of the students who perform dangerous actions to the cloud server for facial recognition based on the collected facial information when it is determined that there are dangerous actions. The big data processing module generates warning information and sends it to the warning terminal closest to the student who has performed the dangerous action; at the same time, the location of the student should be determined based on the information sent by the clock module. If the student is not at the location where he should be, an early warning signal is generated to the early warning module, and the early warning module sends an early warning signal to the designated object such as the school, teacher or parent within a preset time; the environmental monitoring data collected by the environmental monitoring module is used to warn of fire, flood and other disasters; the monitoring data collected by the access control monitoring module is used to determine whether the personnel entering the campus gate and the gates of each building on campus are legal, and an illegal intrusion alarm signal is generated if the intrusion is illegal;

[0038] Finally, the warning terminal closest to the dangerous action will issue a corresponding warning based on the warning information to effectively stop the dangerous action; at the same time, the warning terminal plays and displays the warning information and illegal intrusion alarm signal issued by the big data processing module; the early warning module reminds students or warns of danger based on the early warning signal issued by the big data processing module.

[0039] In addition, during the entire monitoring process, the device's functions, data, and various permissions can be managed through the background management module.

[0040] In summary, this device acquires the actions and behaviors of students on campus through the security monitoring module to generate a student learning profile; at the same time, the face recognition module collects face information of each monitoring point in real time, and the big data processing module uploads the acquired information data to the cloud server and combines it with the location movement information to monitor the student's activity range and make dangerous action judgments. When it is judged that the student is performing dangerous behaviors such as crossing a fence or fighting, the face information is recognized and analyzed to identify and alarm the student who is performing dangerous behaviors, and then the dangerous activity range and risky behavior characteristics are divided according to the input behavior characteristic indicators, and automatic recognition behavior is realized for analysis, so as to timely discover risky behaviors and send warnings to designated objects such as schools, teachers or parents within a preset time, such as 3 seconds, to achieve the purpose of student safety management. In addition, the access control monitoring modules installed at the school gate and various buildings integrate the functions of heavy video monitoring and recording of traditional monitoring systems, and can also monitor the security environment on campus in real time and identify people entering and leaving the campus and specific buildings on campus, which can effectively prevent illegal entry of outsiders and irrelevant personnel, thereby eliminating safety hazards; the security monitoring module can collect the temperature, humidity and air quality on campus in real time, and can complete the monitoring and control of all lighting and heating on campus, and transmit the information to teachers and students in real time, thereby effectively improving the intelligence of this device; through the cooperation of the face recognition module, clock module and early warning module, it can time according to the course schedule, and send a signal to the big data processing module when the timing node is reached, and determine the position of the student according to the information sent by the clock module. If the student is not at the position he should be, a warning signal is generated to the early warning module. For example, if a student has not arrived in the classroom during class time, a late warning and reminder can be issued; it can also warn of fire, flood and other disasters based on the environmental monitoring data collected by the environmental monitoring module.

[0041] It should be noted that both action behavior judgment and face recognition technologies are existing technologies in the field of monitoring. Therefore, this application only achieves technical goals through networking of devices and apparatuses with known functions, and does not involve any improvements in computer programs.

[0042] The technical solution provided by the utility model is introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation method of the utility model. The description of the above embodiments is only used to help understand the method and core idea of ​​the utility model. It should be pointed out that for ordinary technicians in this technical field, without departing from the principle of the utility model, the utility model can also be improved and modified, and these improvements and modifications also fall within the scope of protection of the claims of the utility model.

[0043] The utility model discloses a campus intelligent monitoring device for student management, including a big data processing module, a data acquisition module is connected to the data input end of the big data processing module, a face recognition module and a safety monitoring module are connected to the data input end of the data acquisition module, the face recognition module and the safety monitoring module are distributed at various monitoring points preset in the campus, a visual monitoring platform is connected to the data output end of the big data processing module, a clock module is also connected to the big data processing module, and the big data processing module also exchanges data with the warning terminal and the early warning module through the communication module. Its significant effect is: targeted identification and warning of students' dangerous behaviors, so as to more effectively deter students and achieve the purpose of student safety management.

Claims

1. A campus intelligent monitoring device for student management, characterized in that: It includes a big data processing module, the data input end of the big data processing module is connected to a data acquisition module, the data input end of the data acquisition module is connected to a face recognition module and a security monitoring module, the face recognition module and the security monitoring module are distributed at various monitoring points preset in the campus, the data output end of the big data processing module is connected to a visual monitoring platform, the big data processing module is also connected to a clock module, the big data processing module also exchanges data with an alarm terminal and an alarm module through a communication module, the alarm terminal is set at various monitoring points preset in the campus and / or in the hands of responsible persons in various areas of the campus, the alarm module is set at various monitoring points preset in the campus and / or worn by various students, and the data input end of the data acquisition module is also connected to an environment monitoring module.

2. The campus intelligent monitoring device for student management according to claim 1 is characterized by: The data input end of the data acquisition module is also connected to a door access monitoring module.

3. The campus intelligent monitoring device for student management according to claim 2 is characterized by: The monitoring screen displayed by the visual monitoring platform can be switched to the screen and information obtained by the face recognition module, security monitoring module, environment monitoring module or access control monitoring module.

4. The campus intelligent monitoring device for student management according to claim 2 is characterized by: The security monitoring module and the access control monitoring module are arranged at the gate of the campus and the gates of each building in the campus, wherein the security monitoring module includes a temperature collection unit for collecting temperature data of persons entering and leaving the campus and each building in the campus.

5. The campus intelligent monitoring device for student management according to any one of claims 1 to 4, characterized in that: The big data processing module also communicates and interconnects with the cloud server through the communication module.

6. The campus intelligent monitoring device for student management according to any one of claims 1 to 4, characterized in that: The big data processing module is also connected to a background management module.

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