1. High operating costs and insufficient staff during peak periods

2. Lifeguards need to concentrate for a long time and are prone to fatigue and distraction.

3. The rescue time is tight, only "golden 30 seconds"

4. Once drowning occurs, the business will be suspended for rectification, financial compensation will be paid, and legal liability will be borne.

Establish large models through massive data collection and train on the cloud

All-round high-definition cameras analyze and identify tourists’ tracking and positioning, swimming styles, movements, etc. in real time and quickly detect dangers

13 drowning postures, risk identification rate over 95%

Quickly parse video streams - discover potential risks - bracelet - 3 security level alerts

Warn the lifeguard within 10 seconds and make judgment and rescue within 30 seconds

Software: Open an account, initialize model training for one week, and identify drowning postures such as struggling, static floating, and sinking.

Hardware: visual recognition server, camera, video streaming data switch, early warning information transmitter, smart bracelet

Electricity safety: leakage protection socket

Cloud-Edge Computing-Terminal Reminder

The large model automatically upgrades and continuously learns, corrects and iterates based on real swimmers' swimming postures and shooting angles.

Install multiple cameras to capture images from multiple angles

SaaS business model, free use of hardware, annual service fee

Safety: AI people prevent extreme events from happening

Save money: save people while complying with national regulations

Increase revenue: enhance customer stickiness and satisfaction