Globally, 246 million children suffer from bullying in schools every year, and nearly 60 per cent of incidents go undetected or unaddressed - behind this alarming figure are countless silent victims and a failing traditional monitoring system. Bullying often thrives in blind areas such as toilets, dormitories and rooftops. The campus AI anti-bullying analysis and early warning system is filling this safety gap through technical means, building an intelligent defence line for the campus that is ‘audible, understandable and manageable’.

I. Technical core: from ‘passive response’ to ‘active defence’.

1. Translator of voice: dialect recognition and double checking of sensitive words

The system is equipped with a high-precision voice pickup terminal, which can recognise more than 20 national dialects and specific sensitive words (e.g. ‘beat you to death’, ‘help’, etc.), and carry out semantic double-checking through AI algorithms to avoid false alarms. When risky voice is detected, the 4G anti-bullying voice terminal immediately triggers sound and light deterrence and simultaneously pushes accurate positioning information to the management terminal.

2. All-link response: 5 seconds to complete the ‘early warning - intervention - traceability’.

• Early warning: the mobile phone of the management personnel will receive triple warning by phone, SMS and App pop-up window within 5 seconds;

• Intervention: Remote shouting through the public number, real-time deterrence of abusers, and linkage of security on-site disposal;

• Traceability: audio, time, location and other data are automatically archived to support access and analysis after the event, forming a closed-loop management.

3. Balancing Privacy and Efficiency

The system adopts a ‘no-screen monitoring’ design, with supervision achieved only through sound analysis, which protects students' privacy and covers sensitive areas such as toilets and dormitories. A case study with a local secondary school showed that the reporting rate of bullying incidents increased by 300% after installation, while parents complained about zero privacy issues.

II. the value of landing: reconstruct the logic of campus security management

Traditional manual inspection: relying on manual inspection, many blind spots, passive treatment after the incident, and difficulty in retaining evidence.

AI anti-bullying system: 7×24 hours without dead-end coverage, real-time active warning, data storage in the cloud, retrospective accountability.

Disputes and breakthroughs: how can technology guard the temperature of humanity?

Despite the remarkable effectiveness of the system, doubts always exist: will AI over-monitor? How can algorithmic misjudgement be resolved?

• Privacy protection: data encrypted storage, unauthorised access to recordings is not possible;

• False alarm optimisation: false alarm rate is less than 0.3% through millions of corpus training;

• Education integration: the system synchronously pushes anti-bullying science content, turning technical intervention into educational opportunities.