Hebo V1.0 AI-powered Drowning Prevention Alarm System (for short Hebo V1.0)

HeBo V1.0 is an AI-powered drowning prevention alarm system built on a cloud–edge–device collaborative architecture. It comprises five core modules: intelligent sensing layer, AI analytics engine, data enablement layer, emergency response layer, and server cluster.

The sensing layer features an array of 8K ultra-HD wide-angle adaptive cameras with strong anti-interference capability, enabling full-area coverage of swimming pools and 24/7 real-time monitoring under both daylight and low-light conditions.

The AI analytics engine employs a dual-engine multimodal algorithm, integrating multiple feature dimensions—such as human motion patterns, displacement trajectories, and water surface dynamics—to perform precise and efficient analysis and decision-making. The system is capable of issuing rapid risk alerts, achieving a detection success rate exceeding 95%, with a false alarm rate below 5% and a localization error within 0.5 meters. It ensures highly accurate identification of drowning risks while effectively minimizing excessive or redundant alerts, thereby optimizing operational efficiency and reducing unnecessary allocation of human and material resources.

The emergency response layer incorporates a three-tier alert mechanism, including web, tablet (PAD), and wearable (watch vibration) notifications. Multi-terminal alerts are issued within 3 seconds of risk detection, with precise location data to support rapid rescue operations.

The server cluster utilizes an active-active disaster recovery architecture combined with high-performance AI computing, enabling low-latency processing and enhanced system reliability.

The data enablement layer automatically captures and stores full video clips and metadata of all alert events, supporting up to 90 days of traceability with retrieval times under 30 seconds, facilitating incident investigation and liability assessment.