CN115002422A - Wisdom campus safety control early warning system based on artificial intelligence - Google Patents

Wisdom campus safety control early warning system based on artificial intelligence Download PDF

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CN115002422A
CN115002422A CN202210628701.4A CN202210628701A CN115002422A CN 115002422 A CN115002422 A CN 115002422A CN 202210628701 A CN202210628701 A CN 202210628701A CN 115002422 A CN115002422 A CN 115002422A
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袁大方
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ANHUI COMMUNICATIONS VOCATIONAL & TECHNICAL COLLEGE
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
    • G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
    • G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources

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Abstract

本发明公开一种基于人工智能的智慧校园安全管理预警系统，包括校内监管系统、校门禁制系统和网络数据库，所述校内监管系统包括数据采集模块、处理识别模块、判断预警模块和自动联系模块，所述校门禁制系统包括线上预约模块、来访认证模块和校门防护模块；本发明发明通过校内监管系统实时获取校内学生活动状态进行危险行为识别和AI人脸识别，并进行预警和警告，有效杜绝校内学生之间的一些危险行为造成学生受伤的情况，同时通过校门禁制系统可有效的杜绝一些校外无关人员进入校园的情况，校园管理更加安全可靠，真正实现了智慧校园安全管理。

Figure 202210628701

The invention discloses a smart campus safety management early warning system based on artificial intelligence, which includes an intra-school supervision system, a school gate control system and a network database. The school gate control system includes an online reservation module, a visiting authentication module and a school gate protection module; the present invention obtains the activity status of students in the school in real time through the school supervision system to identify dangerous behaviors and AI face recognition, and performs early warning and warning, effectively eliminating the need for Some dangerous behaviors among students on campus cause students to be injured. At the same time, the school gate control system can effectively prevent some irrelevant people from entering the campus. The campus management is safer and more reliable, and the smart campus safety management is truly realized.

Figure 202210628701

Description

Wisdom campus safety control early warning system based on artificial intelligence
Technical Field
The invention relates to the technical field of campus security management, in particular to an intelligent campus security management early warning system based on artificial intelligence.
Background
The campus is a place where a large number of students gather, the large number of students may generate friction, and the students are injured due to the fact that the students frequently pursue, compete and rush, and other dangerous behaviors occur frequently, so that similar campus safety problems frequently occur, the normal education and teaching order of the school and the healthy development of the students are seriously affected, and meanwhile, the situation that some persons irrelevant to the outside of the school enter the campus exists, so that the campus safety monitoring is very important;
at present, campus management only stops at the stage of camera monitoring and entrance guard supervision, the camera monitoring only can monitor behaviors or accidents affecting the personal safety of students and cannot inform students of guardians and contact rescue workers independently, the best rescue time is often missed or unnecessary misunderstanding of guardians is often caused, meanwhile, some irrelevant personnel outside the campus can enter the campus only by registration, and certain potential safety hazards are brought to the campus students.
Disclosure of Invention
In view of the above problems, the invention aims to provide an artificial intelligence-based intelligent campus safety management early warning system, which can perform dangerous behavior recognition and AI face recognition on the activity state of students in a school, perform early warning and warning, effectively prevent the student from being injured due to some dangerous behaviors among the students in the school, effectively prevent some irrelevant personnel outside the school from entering the campus, ensure that the campus management is safer and more reliable, and really realize the intelligent campus safety management.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: an artificial intelligence based intelligent campus safety management early warning system comprises an intra-campus monitoring system, a school gate inhibition system and a network database, the school supervision system comprises a data acquisition module, a processing and identifying module, a judgment and early warning module and an automatic contact module, the data acquisition module acquires activity state images of students in each area in the school in real time through a plurality of groups of monitoring cameras, the monitoring cameras are in data connection with the processing and identifying module, the processing and identifying module is used for processing the acquired image and acquiring basic information of the student on the image based on AI face identification, the judgment and early warning module is used for judging the danger degree of the activities of the students and giving early warning prompts according to the danger degree, the judgment and early warning module is in data connection with the processing and recognition module and is provided with a broadcast horn and early warning alarm lamps at all places of the campus, the automatic contact module is used for contacting related personnel in time according to the danger degree of the activities of the students;
the school gate inhibition system comprises an on-line reservation module, an access authentication module and a school gate protection module, wherein the on-line reservation module is used for on-line real-name reservation of visitors and requires real-name approval of the school leader according to reservation information, the on-line APP authentication reservation is passed, the on-line APP certificate reservation is carried out, the school leader receives reservation information and carries out verification after reservation, the access authentication module is used for face identification of the visitors, calls the relationship between the visitors and relevant personnel based on the Internet for authentication, is in data connection with the on-line reservation module and a network database, and is used for identifying and authenticating the information of the visitors and face identification and relationship authentication of parents of the visitors, and the school gate protection module is used for forcibly intercepting personnel and vehicles destroying the school gate;
the network database acquires comparison identification and face identification authentication information of the school interior supervision system and the school door prohibition system based on the internet, and a judgment early warning module of the school interior supervision system and a visiting authentication module of the school door prohibition system are in data connection with the judgment early warning module and the visiting authentication module.
The further improvement lies in that: the data acquisition module contains camera control submodule, camera control submodule is used for controlling a plurality of groups of monitoring cameras to follow and capture dangerous activity action pictures of students in various regions in the school in an omnibearing manner.
The further improvement lies in that: the processing and identifying module comprises an image processing submodule, an information extracting submodule and an information calling submodule, wherein the image processing submodule carries out filtering processing on an obtained image based on wavelet transformation and carries out resolution analysis, the information extracting submodule is used for carrying out behavior feature extraction and face feature extraction on the processed image, and the information calling submodule is used for calling a corresponding face feature image from a network database according to the extracted features to obtain personal information of a corresponding student and a corresponding dangerous behavior image.
The further improvement lies in that: the judgment and early warning module comprises a behavior judgment submodule and an early warning submodule, the behavior judgment submodule is used for comparing and judging the extracted features with dangerous behavior feature images in a network database and evaluating the dangerous degree, and the early warning submodule is used for giving early warning prompts and warnings of different degrees according to the evaluation result.
The further improvement lies in that: the automatic contact module comprises an in-school notification submodule and an out-school notification submodule, the in-school notification submodule timely notifies related personnel to go to a place of affairs according to the judgment result of the judgment and early warning module for processing, and the out-school notification submodule is used for automatically contacting guardians of students and out-school hospitals to go to treatment in time when the students suffer serious physical injuries.
The further improvement is that: the online reservation module comprises a real-name registration submodule and an approval submodule, the real-name registration submodule is used for online real-name registration of visitors and explaining that the visitors have access to the information of the revisions, and the approval submodule is used for the chief to verify the access information and evaluate the access necessity and make approval reply.
The further improvement lies in that: the school door protection module contains infrared sensor and lift interception roadblock, infrared sensor sets up the phenomenon that is used for responding to destruction school door in electronic school door, the lift interception roadblock sets up and is used for blockking to destroy the personnel's vehicle and the vehicle out of control that school door got into the campus under the road surface of 3 meters departments apart from school door in school door.
The further improvement lies in that: the network database comprises a student face information storage module, a dangerous activity behavior picture information storage module and a network interconnection module, wherein the student face information storage module is used for inputting and storing student face characteristic information and corresponding names, classes, guardian relations and contact ways in advance, the dangerous activity behavior picture information storage module is used for guiding and storing dangerous behavior action characteristic pictures of students in advance for comparison, and the network interconnection module acquires corresponding student family member relations and corresponding face identification pictures for face identification and identity verification based on the internet.
The invention has the beneficial effects that: according to the intelligent campus monitoring system, the activity states of students in a campus are acquired in real time through the campus monitoring system to perform dangerous behavior identification and AI face identification, early warning and warning are performed, the condition that the students are injured due to some dangerous behaviors among the students in the campus is effectively avoided, meanwhile, the condition that some irrelevant people outside the campus enter the campus can be effectively avoided through the school gate inhibition system, campus management is safer and more reliable, and intelligent campus safety management is truly realized.
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Fig. 1 is a system architecture diagram according to an embodiment of the present invention.
FIG. 2 is a diagram of a system architecture according to a second embodiment of the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example one
According to the figure 1, the embodiment provides an intelligent campus safety management early warning system based on artificial intelligence, which comprises an intra-campus supervisory system, a school gate inhibition system and a network database, wherein the intra-campus supervisory system comprises a data acquisition module, a processing and recognition module, a judgment and early warning module and an automatic connection module, the data acquisition module is used for acquiring activity state images of students in each area in the school in real time through a plurality of groups of monitoring cameras, the monitoring cameras are in data connection with the processing and recognition module, the processing and recognition module is used for processing the acquired images and acquiring basic information of the students on the images based on AI face recognition, the judgment and early warning module is used for judging the danger level of the activities of the students and giving early warning according to the danger level, the judgment and early warning module is in data connection with the processing and recognition module and is provided with a broadcast horn and early warning lamps at each position of the campus, the automatic contact module is used for contacting related personnel in time according to the danger degree of the activities of the students;
the school gate inhibition system comprises an on-line reservation module, an access authentication module and a school gate protection module, wherein the on-line reservation module is used for on-line real-name reservation of visitors and requires real-name approval of the school leader according to reservation information, the on-line APP authentication reservation is passed, the on-line APP certificate reservation is carried out, the school leader receives reservation information and carries out verification after reservation, the access authentication module is used for face identification of the visitors, calls the relationship between the visitors and relevant personnel based on the Internet for authentication, is in data connection with the on-line reservation module and a network database to identify and authenticate the information of the visitors and the face identification and relationship between the parents of the visitors, and the school gate violation protection module is used for forcedly intercepting personnel and vehicles which destroy a school gate;
the network database acquires comparison identification and face identification authentication information of the school interior supervision system and the school door prohibition system based on the internet, and a judgment early warning module of the school interior supervision system and a visiting authentication module of the school door prohibition system are in data connection with the judgment early warning module and the visiting authentication module.
The monitoring camera is the spherical camera that can follow the seizure, and multiunit monitoring camera is facing to the student's all-round seizure of making dangerous behavior when acquireing the picture, data acquisition module contains camera control submodule piece, is connected with monitoring camera electric control, camera control submodule piece is used for controlling multiunit monitoring camera and follows the dangerous activity action picture of student that each region takes place in the all-round seizure school, avoids appearing the control and folds a dead angle.
The processing and identifying module comprises an image processing submodule, an information extracting submodule and an information calling submodule, the image processing submodule is in data connection with the monitoring camera, the image processing submodule carries out filtering processing and resolution analysis on the acquired image based on wavelet transformation,
the information extraction submodule is used for extracting behavior characteristics and face characteristics of the processed image, image edge enhancement is firstly carried out on two different characteristics on the image during extraction, and then the enhanced related action characteristics are extracted;
and the information calling submodule is in data connection with the network database and is used for calling the corresponding face characteristic image from the network database according to the extracted characteristics to acquire the personal information of the corresponding student and the corresponding dangerous behavior image.
The judgment and early warning module comprises a behavior judgment submodule and an early warning submodule, the behavior judgment submodule is connected with the information calling submodule in a data mode, the behavior judgment submodule is used for comparing and judging the extracted features with dangerous behavior feature images in a network database called by the information calling submodule and evaluating the danger degree, all dangerous activity behaviors occurring in the campus are sequenced according to the danger degree during evaluation, and then related personnel are arranged to arrive at the site in time and are processed according to the danger degree;
the early warning submodule is used for making early warning prompts and warnings of different degrees according to the evaluation result, flashing and reporting names and classes of participating students through the broadcast loudspeaker and the early warning lamp in the period that related personnel do not arrive at the site, giving warnings to the students and commanding the students to stop dangerous behaviors made by the students.
The automatic contact module comprises an in-school notification submodule and an out-of-school notification submodule, and the in-school notification submodule timely notifies related personnel to go to a place of affairs for processing according to the judgment result of the judgment early warning module;
the school attendance notification submodule is used for automatically contacting guardians of students and school attendance hospitals when the students are injured in time, selecting main parents of the students when contacting the guardians, and enabling the parents, the grandparents and other direct relatives to arrive at the site or the treatment hospitals in time, and simultaneously contacting the guardians and the school attendance hospitals.
The online reservation module comprises a real-name registration submodule and an approval submodule, wherein the real-name registration submodule is used for online real-name registration of visitors and explaining the fact that visitors have access to and enter the information of the visitors, and the faces of the visitors need to be input when the information is registered so as to prevent the occurrence of an imposition situation;
the examination and approval submodule is used for the chief to verify the access information, evaluate the access necessity and make an examination and approval reply, when the chief receives the access application, the chief finds out the appropriate condition of the access personnel in the school according to the access information, and selects whether the access is necessary or not according to the access requirement, if not, the access personnel in the school is allowed to transfer to the school to refuse the access, and if so, the chief gives the access authority to the school.
The school door protection module comprises an infrared sensor and a lifting interception roadblock, the infrared sensor is arranged in the electric school door and used for sensing the phenomenon of damaging the school door, the infrared sensor starts sensing when the electric school door is closed, and the sensing is closed when the electric school door is opened;
the lift interception roadblock has infrared sensor control, the lift interception roadblock sets up and is used for blockking to destroy the personnel vehicle and the vehicle out of control that the school door got into the campus under the road surface of 3 meters departments of school door in the school door, trigger infrared sensor when personnel vehicle rushes the school door by force, the lift interception roadblock rises automatically, it causes the student to receive frightening and injury to avoid appearing the vehicle and rushing into the campus, also can trigger infrared sensor when having the vehicle out of control to rush into the school simultaneously outside the campus, the lift interception roadblock rises and blocks the vehicle out of control, avoid causing personnel casualties and facility damage in the school.
The network database comprises a student face information storage module, a dangerous activity behavior picture information storage module and a public gateway network interconnection module, wherein the student face information storage module is used for inputting and storing student face characteristic information and corresponding names, classes, guardian relations and contact information in advance, and the dangerous activity behavior picture information storage module is used for importing and storing dangerous behavior action characteristic pictures of students in advance for comparison;
when a parent in a school holds a meeting, the network interconnection module acquires the corresponding student family membership and the corresponding face recognition image based on the Internet to carry out face recognition and identity verification, so that campus public security confusion caused by the fact that foreign persons are mixed into the campus outside the school is avoided.
Example two
According to the figure 2, the embodiment provides an intelligent campus safety management early warning system based on artificial intelligence, which comprises an intra-campus supervisory system, a school gate inhibition system and a network database, wherein the intra-campus supervisory system comprises a data acquisition module, a processing and recognition module, a judgment and early warning module and an automatic connection module, the data acquisition module is used for acquiring activity state images of students in all areas in a school in real time through a plurality of groups of monitoring cameras, the monitoring cameras are in data connection with the processing and recognition module, the processing and recognition module is used for processing the acquired images and acquiring basic information of the students on the images based on AI face recognition, the judgment and early warning module is used for judging the danger degree of activities of the students and giving early warning according to the danger degree, the judgment and early warning module is in data connection with the processing and recognition module and is provided with a broadcast horn and early warning lamps at each position of the campus, the automatic contact module is used for contacting related personnel in time according to the danger degree of the activities of the students and automatically contacting a management department for processing when the unrelated personnel outside the school enters the campus;
the school gate inhibition system comprises an on-line reservation module, an access authentication module and a school gate protection module, wherein the on-line reservation module is used for on-line real-name reservation of visitors and requires real-name approval of the school leader according to reservation information, the on-line APP authentication reservation is passed, the on-line APP certificate reservation is carried out, the school leader receives reservation information and carries out verification after reservation, the access authentication module is used for face identification of the visitors, calls the relationship between the visitors and relevant personnel based on the Internet for authentication, is in data connection with the on-line reservation module and a network database, and is used for identifying and authenticating the information of the visitors and face identification and relationship authentication of parents of the visitors, and the school gate protection module is used for forcibly intercepting personnel and vehicles destroying the school gate;
the network database acquires comparison identification and face identification authentication information of the school interior supervision system and the school door prohibition system based on the internet, and a judgment early warning module of the school interior supervision system and a visiting authentication module of the school door prohibition system are in data connection with the judgment early warning module and the visiting authentication module.
The visiting authentication module acquires visiting person information through a network database for authentication and identification, searches and acquires information of a person requesting authentication through the Internet and the network interconnection module during authentication, if the information is searched and authenticated as family personnel of a certain student, broadcasts and informs the corresponding student to go to a school gate for processing affairs, and information registration is needed at a entrance guard when the information is necessary to enter the school; and refusing authentication when the person is identified as the unrelated social person.
The foregoing shows and describes the general principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1.一种基于人工智能的智慧校园安全管理预警系统，其特征在于：包括校内监管系统、校门禁制系统和网络数据库，所述校内监管系统包括数据采集模块、处理识别模块、判断预警模块和自动联系模块，所述数据采集模块通过设置的多组监控摄像头实时采集校内各个区域学生的活动状态图像，所述处理识别模块用于处理获取的图像并基于AI人脸识别获取图像上学生的基本信息，所述判断预警模块用于判断学生活动行为的危险程度并根据危险程度进行预警提示，所述自动联系模块用于根据学生活动行为的危险程度及时联系相关人员；1. a kind of intelligent campus safety management early warning system based on artificial intelligence, it is characterized in that: comprise school supervisory system, school gate control system and network database, described school supervisory system comprises data acquisition module, processing identification module, judgment early warning module and automatic Contact module, the data collection module collects real-time images of students in various areas of the school through multiple sets of surveillance cameras set up, and the processing and recognition module is used to process the acquired images and acquire the basic information of the students on the images based on AI face recognition , the judgment and early warning module is used for judging the degree of danger of the student's activity and giving an early warning according to the degree of danger, and the automatic contact module is used for contacting the relevant personnel in time according to the degree of danger of the student's activity; 所述校门禁制系统包括线上预约模块、来访认证模块和校门防护模块，所述线上预约模块用于来访人员线上实名预约并需要该校校长根据预约信息实名审批，所述来访认证模块用于来访人员人脸识别并基于互联网调取与学生和相关人员的关系进行认证，所述校门防护模块用于对破坏校门的人员车辆进行强制拦截；The school gate control system includes an online reservation module, a visiting authentication module and a school gate protection module. The online reservation module is used for online real-name reservations for visitors and requires the school principal to approve the real-name approval according to the reservation information. Based on the face recognition of visitors and the relationship with students and related personnel based on the Internet for authentication, the school gate protection module is used to forcibly intercept the personnel and vehicles that damage the school gate; 所述网络数据库基于互联网获取校内监管系统和校门禁制系统对比识别及人脸识别认证信息的存储。The network database is based on the Internet to obtain the comparison and identification of the school supervision system and the school gate control system and the storage of face recognition authentication information. 2.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述数据采集模块包含摄像头控制子模块，所述摄像头控制子模块用于控制多组监控摄像头跟随全方位捕捉校内各个区域发生的学生危险活动行为图片。2. a kind of intelligent campus safety management early warning system based on artificial intelligence according to claim 1, is characterized in that: described data acquisition module comprises camera control submodule, and described camera control submodule is used to control multiple groups of surveillance cameras Follow along to capture pictures of students' dangerous activities and behaviors in various areas of the school. 3.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述处理识别模块包含图像处理子模块、信息提取子模块和信息调用子模块，所述图像处理子模块基于小波变换对获取的图像进行滤波处理并进行分辨率解析，所述信息提取子模块用于对处理后的图像进行行为特征的提取和人脸特征的提取，所述信息调用子模块用于根据提取的特征从网络数据库中调取对应的人脸特征图像获取对应学生的个人信息以及相应的危险行为图像。3. a kind of intelligent campus security management early warning system based on artificial intelligence according to claim 1, is characterized in that: described processing identification module comprises image processing submodule, information extraction submodule and information calling submodule, and described image The processing sub-module performs filtering processing and resolution analysis on the acquired image based on wavelet transform, and the information extraction sub-module is used to extract behavioral features and face features for the processed image, and the information calls the sub-module It is used to retrieve the corresponding face feature image from the network database according to the extracted feature to obtain the personal information of the corresponding student and the corresponding dangerous behavior image. 4.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述判断预警模块包含行为判断子模块和预警子模块，所述行为判断子模块用于将提取的特征与网络数据库中的危险行为特征图像进行对比判断，并对危险程度进行评估，所述预警子模块用于根据评估结果做出不同程度的预警提示和警告。4. a kind of intelligent campus security management early warning system based on artificial intelligence according to claim 1, is characterized in that: described judgment early warning module comprises behavior judgment submodule and early warning submodule, and described behavior judgment submodule is used for The extracted features are compared and judged with the dangerous behavior feature images in the network database, and the degree of danger is evaluated, and the early warning sub-module is used to make early warning prompts and warnings of different degrees according to the evaluation results. 5.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述自动联系模块包含校内通知子模块和校外通知子模块，所述校内通知子模块根据判断预警模块判断结果及时通知相关人员前往事发地进行处理，所述校外通知子模块用于在学生发生严重身体伤害及时的自动联系学生的监护人和校外医院前往救治。5. a kind of intelligent campus safety management early warning system based on artificial intelligence according to claim 1, is characterized in that: described automatic contact module comprises in-school notification sub-module and off-campus notification sub-module, described in-school notification sub-module according to judgment The judgment result of the early warning module timely informs the relevant personnel to go to the incident site for processing, and the off-campus notification sub-module is used to automatically contact the student's guardian and the off-campus hospital for treatment in a timely manner when the student suffers serious physical injury. 6.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述线上预约模块包含实名登记子模块和审批子模块，所述实名登记子模块用于来访人员线上实名登记并说明来访缘由及进校访问人员信息，所述审批子模块用于校长对访问信息进行核实及访问必要性评估并作出审批回复。6. a kind of artificial intelligence-based smart campus security management early warning system according to claim 1, is characterized in that: described online reservation module comprises real-name registration submodule and examination and approval submodule, and described real-name registration submodule is used for Visitors register online with their real names and explain the reasons for the visit and the information of the visitors entering the school. The approval sub-module is used by the principal to verify the visit information, evaluate the necessity of the visit, and make an approval reply. 7.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述校门防护模块包含红外传感器和升降拦截路障，所述红外传感器设置在电动校门内用于感应破坏校门的现象，所述升降拦截路障设置在校门内距校门3米处的路面下用于阻挡破坏校门进入校园的人员车辆及失控车辆。7. a kind of intelligent campus safety management early warning system based on artificial intelligence according to claim 1, is characterized in that: described school gate protection module comprises infrared sensor and lift interception roadblock, and described infrared sensor is arranged in the electric school gate for In response to the phenomenon of destroying the school gate, the lifting interception roadblock is set under the road surface at a distance of 3 meters from the school gate to block the personnel vehicles and out-of-control vehicles that destroy the school gate and enter the campus. 8.根据权利要求1所述的一种基于人工智能的智慧校园安全管理预警系统，其特征在于：所述网络数据库包含学生人脸信息存储模块、危险活动行为图片信息存储模块及网络互联模块，所述学生人脸信息存储模块用于提前录入存储学生人脸特征信息以及对应的姓名、班级、监护人关系和联系方式，所述危险活动行为图片信息存储模块提前导入存储学生的危险行为动作特征图片用于做出对比，所述网络互联模块基于互联网获取对应学生家庭成员关系及对应的人脸识别图。8. a kind of intelligent campus safety management early warning system based on artificial intelligence according to claim 1, is characterized in that: described network database comprises student face information storage module, dangerous activity behavior picture information storage module and network interconnection module, The student face information storage module is used to input and store the student face feature information and the corresponding name, class, guardian relationship and contact information in advance, and the dangerous activity behavior picture information storage module imports and stores the student's dangerous behavior action feature pictures in advance. For comparison, the network interconnection module obtains the relationship of the corresponding student's family members and the corresponding face recognition map based on the Internet.
CN202210628701.4A 2022-06-06 2022-06-06 Wisdom campus safety control early warning system based on artificial intelligence Pending CN115002422A (en)

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