What are the uses of the Shanghai Liqing Campus AI Intelligent Bullying Prevention and Alarm System

The Shanghai Liqing Campus AI Intelligent Bullying Prevention and Alarm System integrates artificial intelligence, the Internet of Things, and big data technology to build a multi-level campus security protection system. Its core uses can be summarized into the following six dimensions:
1、 Real time monitoring and intelligent warning for all scenarios
What are the uses of the Shanghai Liqing Campus AI Intelligent Anti Bullying Alarm System, which is deployed in high bullying areas such as corridors, bathrooms, and playgrounds through intelligent perception devices (such as behavior analysis cameras)? Like head and sound sensors, achieve all-weather capture of abnormal behavior. Its AI algorithm can accurately identify bullying features such as pushing and shoving, and combine voiceprint recognition technology to distinguish between normal and abnormal communication language. When a risky behavior is detected, the system will automatically generate warning information within 10 seconds and synchronously push it to the security personnel and class teacher terminals. According to data from a pilot school, the system has increased the efficiency of detecting bullying incidents by 80%, with most incidents being stopped at the early stages.
2、 Multi dimensional linkage emergency response mechanism
The system has built a four level linkage response system of "student teacher school parent":
Student end: equipped with concealed "one click alarm" devices (such as smart bracelets, classroom terminals), which automatically start on-site audio and video recording and encrypt and upload to the cloud after triggering, forming a complete evidence chain;
Teacher end: After receiving the warning, the system's built-in real-time intercom function can be used to remotely intervene, synchronously obtain event location and student past behavior files, and assist in quick decision-making;
School management: Real time control of global dynamics through a visual platform, coordinating security forces to rush to the scene, with an average response time of only 2 minutes and 30 seconds, which is nearly 6 times faster than the traditional manual reporting mode (about 15 minutes);
Parent end: The system automatically generates a report containing time, location, and event details and pushes it to parents' mobile phones to avoid conflicts between home and school caused by information lag.
3、 Data driven preventive intervention
Through long-term accumulation of behavioral data, the system can deeply analyze the spatiotemporal distribution patterns of bullying incidents, identify high-risk areas (such as monitoring blind spots), high-risk periods (such as during class periods), and potential risk groups. These insights support the school to adjust patrol routes, optimize class management strategies, and implement psychological counseling and behavioral interventions for key students. For example, the system can generate a dynamic risk heatmap to help managers plan preventive measures in advance, shifting safety management from passive response to active prevention and control.
4、 Accurate positioning and deterrence to drive away
The unique audio traceability technology of the system can quickly locate the specific location of bullying through voiceprint features, and the error range can be controlled. At the same time, when threatening language is detected, the system will automatically play warning voice, combined with the intelligent tracking function of the camera, to form an immediate deterrent to bullies and effectively prevent conflict escalation. This "discovery and deterrence" mechanism has reduced the incidence of bullying incidents in some pilot schools by more than 40%.

5、 Evidence solidification and compliance management
All audio and video data triggered by alarms are encrypted and stored using blockchain technology to ensure immutability. The system supports online review of events, and school administrators can trace the entire process of the event through the cloud backend, providing objective basis for subsequent responsibility determination and mediation. Data retention follows the principle of "small necessity": daily monitoring data is automatically deleted after 7 days (major events need to be manually marked and retained), and the facial recognition module only outputs behavior analysis results without storing facial images, ensuring security while protecting privacy to a large extent.
6、 Dialect adaptation and barrier free alarm
In response to the actual needs of dialect regions, the system has developed a speech recognition module that supports multiple languages and accents. It can accurately capture bullying related vocabulary such as "punching people" and "asking for money", and even recognize abnormal conversations through voiceprint features in noisy environments. In addition, the system is compatible with multiple alarm terminals, including classroom fixed alarm buttons, student wristbands, and teacher specific emergency equipment, forming a three-dimensional alarm network covering the entire school.
The system has restructured the logic of campus security governance through technological innovation: from relying on manual inspection for "passive defense" to AI driven "active protection"; Upgrade from a single disciplinary measure to a closed-loop management of "warning intervention education". As of 2025, its dual concept of "technology+humanities" has been implemented in more than 100 schools in the Yangtze River Delta region, providing replicable solutions for campus bullying prevention work nationwide.