Intelligent Computer Vision and IoT-Based Real-Time Drowning Detection and Swimming Pool Safety System

An intelligent computer vision and IoT-based real-time drowning detection and swimming pool safety system.

An intelligent computer vision and IoT-based real-time drowning detection and swimming pool safety system. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want to connect hardware to software: reading sensors, sending data to a back end, visualising it and acting on it with alerts or control.

The main parts are real-time processing of incoming data, sensor or device data collection, a messaging layer between devices and the server, a live dashboard, and alerts or control actions. The reference build uses Apache Kafka, ESP32, MQTT, Python, and Node-RED, with a clear project structure, setup instructions and sample data so that it can be run and extended.