Intelligent Linked Solution for Emergency Management of Campus Bullying
School safety is comprehensively covered, based on AI analysis of video in important campus locations, voice recognition in concealed areas, IoT analysis of environmental indicators, real-time event warning push, and emergency response management.
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Customer pain points
Blind spots in safety management of hidden places
Campus safety incidents are frequent and often occur in hidden corners. Public areas on campus have a high density of video surveillance systems installed, but there are video blind spots, and areas involving privacy such as restrooms, dormitories, and offices lack effective technology for security deployment. As the person responsible for school safety, it is difficult to detect, collect evidence, and handle these situations.
Management measures are decentralized and not concentrated.
The existing safety measures at the school have many shortcomings, such as being numerous but not centrally managed. For example, alarms, surveillance, broadcasting, and access management exist as isolated systems, making it impossible to consolidate them onto a single platform for data analysis and intervention scheduling. Often, issues arise that require remedial action.
Data silos and lack of structure
The current decentralized management of safety measures in the school leads to a series of event data triggered during safety incidents being independent systems, making it impossible to associate and aggregate them. The extracted data files (alarm records, audio, video files) can only be retrieved based on time and location, and if evidence is needed, a large amount of manpower is required to enter their respective systems for searching.
Lack of visual real-time scheduling
The one-click alarm system needs to be manually triggered; the video surveillance system requires 24-hour human monitoring, and any issues found will be manually alerted; there is a lack of a visual dispatch platform, and the responsible supervisor cannot receive reports in real-time, nor can they intervene and command dispatch in real-time, and can only receive reports from each system head afterwards.
Smart Campus Solutions IOC
Scheme Architecture

Application Scenarios
Combined with video consultation, campus safety algorithm (personnel wandering, personnel gathering, personnel fighting, personnel falling to the ground, fire passage blockage, etc.), keyword early warning and other functions.
School perimeter and wall
Alert generated by perimeter video AI analysis: human intrusion detected. Commanding personnel one key to transfer the nearest security personnel, on-site disposal.
Key areas
For the identification and alarm of climbing and jumping corridor fence/wall; the identification and alarm of staying in dangerous areas such as rooftop; the identification and alarm of corridor and stairwell gathering.
important channel
Through video AI analysis to identify the designated area, there is a blockage that is early warning, and can capture the portrait of the remaining blockage.
Vehicle parking violation
In the parking lot, the road surface at the school gate, the underground garage and other areas with greater risks and hidden dangers, monitoring and video AI analysis are carried out. Any behaviors such as illegal parking of vehicles and illegal occupation of fire exits are immediately alerted, and screenshots of vehicles before, during and during the departure period are recorded.
Public Areas-Swimming Pool
By deploying Al drowning recognition cameras around the swimming pool, the drowning situation is identified; and the real-time display of the swimming pool picture, the drowning person is marked and alerted.
Hidden places to prevent bullying
Trigger keywords to alarm, the host on duty to answer the confirmation as a bullying event, can immediately carry out real-time shouting;
Campus Kitchen
Conduct safety control behavior analysis and early warning for personnel behavior in key safety areas of the kitchen, and automatically alert and quickly arrange personnel for processing.
public property
Through AI analysis of surveillance video, real-time grasp of the safety of public property on campus campus sign destruction; Campus lawn trampling; Damage to public goods, etc.
Program Value
A variety of algorithms, and constantly iteratively updated, the algorithm team alone, nearly 200 self-developed algorithms, support algorithm customization.
Flexible deployment, flexible deployment of large platforms (AI early warning disposal cloud platform) and small platforms (embedded AI early warning system) according to requirements, rapid response; The built-in platform of the host can be quickly deployed and used immediately.
Combined with the size model, the recognition accuracy of the algorithm is improved.
Simple function, easy operation
Foolish operation, the interface is constantly updated iteration, more humane.
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