School safety anti-bullying solutions

School safety comprehensive coverage, based on video AI analysis of important campus locations, voice recognition in hidden locations, environmental index IoT analysis, real-time event early warning push, and emergency linkage management.

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Customer pain points

Smart Campus Solution IOC

Solution Architecture

Application Scenarios

Value of the plan

Related products

Customer pain points


Data silos and structural deficiencies	Blind spots in the security control of hidden areas	Lack of visualized real-time scheduling	Unclosed processing flow
The decentralized management of the school's existing security measures leads to the fact that the event data generated by a series of security events triggered when a security incident occurs are independent systems that cannot be correlated and aggregated. The prepared data files (alarm records, audio, and video files) can only be retrieved by time and location. If evidence needs to be obtained, a large amount of manpower is required to search in each system.	Campus security incidents occur frequently, and many occur in hidden corners. Although high-density video surveillance systems have been installed in public areas on campus, there is a lack of effective technology for defense in video blind spots, bathrooms, dormitories, and offices involving privacy. As the person in charge of school security, it is difficult to find, collect evidence, and handle incidents.	The one-button alarm system needs to be manually triggered; the video surveillance system requires 24-hour manual monitoring, and manual early warning is given when problems are found; there is a lack of a visualized scheduling platform, and the person in charge cannot receive reports in real time, nor can they intervene in command and dispatch in real time, and can only provide reports afterwards by the person in charge of each system.	Complete the overall closed-loop processing process of campus alarm events, improve the pre-event prediction, in-event intervention, post-event handling, and decision-making system, and ensure campus safety.

Smart Campus Solution IOC

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Solution architecture

Application scenarios

School perimeter and walls

Alerts generated through perimeter video AI analysis: Personnel intrusion detected. Command personnel dispatch the nearest security personnel with one click for on-site handling.

Key areas

Alerts for climbing over or jumping over building railings/walls; alerts for loitering in dangerous areas such as rooftops; alerts for gathering in corridors and stairwells.

Important passages

Through video AI analysis, identify specified areas. An alert is triggered if an obstruction occurs, and images of those leaving obstructions can be captured.

Illegal parking

In areas such as parking lots, school entrances, roads, and underground garages, which present significant risks, monitoring and video AI analysis are conducted. Alerts are triggered immediately for illegal parking and illegal occupation of fire lanes, and screenshots are recorded before, during, and after the illegal parking.

Dormitory Attendance

Detects human presence to check the number of students in the dormitory who are not attending classes; counts the number of people to achieve dormitory attendance;

Anti-bullying in Concealed Areas

Triggers an alarm when keywords are detected; the duty host listens and confirms if it is a bullying incident, and can immediately make a real-time announcement;

School Kitchen

Performs safety management behavior analysis and early warning for personnel behavior in key safety areas of the kitchen, and automatically alerts to quickly arrange personnel for handling.

Public Property

Through AI analysis of surveillance video, real-time monitoring of the safety status of public property on campus, such as damage to campus signs; trampling on campus lawns; damage to public items, etc.

Solution Value

Fully Self-Developed

Multiple algorithms, constantly iterated and updated; independent algorithm team; nearly 200 self-developed algorithms; supports algorithm customization.

Flexible Deployment

Can be flexibly deployed according to needs: large platform (AI early warning and disposal cloud platform), small platform (embedded AI early warning system), quick response; host-built platform, quick deployment, plug and play.

Combination of Large and Small Models

Combines large and small models to improve algorithm recognition accuracy.

Simple and Easy to Operate

Fool-proof operation, interface constantly updated and iterated, more user-friendly.