- Published on
Drowning Detection System
- Authors
- Name
- Pulathisi Kariyawasam
- @RandhanaK
Introduction
The Drowning Detection System is a cutting-edge solution designed to identify and alert when someone is in danger of drowning. Leveraging the power of computer vision algorithms, the system analyzes video feeds captured by multiple cameras placed around pools or other bodies of water, ensuring real-time detection of potential drowning incidents.
System Overview
This system uses a deep learning-based object detection model to identify humans in the water. The model is trained on thousands of images and videos of people in aquatic environments, enabling it to accurately detect a human body under various conditions, including different lighting and body positions.
Once a person is detected, motion analysis algorithms are applied to track their movements and assess whether they are in distress. If an emergency situation is identified, an alert is triggered to notify caregivers or lifeguards, allowing them to respond quickly and potentially save a life.
Features
- Real-Time Detection: Continuously monitors video feeds for immediate detection.
- Object Detection: Utilizes deep learning to accurately identify human figures in the water.
- Motion Tracking: Tracks movements to assess potential drowning behavior.
- Alerts and Notifications: Automatically sends alerts to caregivers or lifeguards when danger is detected.
Technology Stack
- Python (Programming Language)
- OpenCV for image and video processing
- PyTorch for training and deploying deep learning models
- Machine Learning for improving the accuracy of detection and motion analysis
Demonstration Video
Check out the demonstration of the Drowning Detection System in action:
Watch the video
GitHub Repository
You can access the full source code and setup instructions in the GitHub repository:
GitHub - Drowning Detection System
Feel free to clone the repository, set up the project, and test it. If you find the project useful, kindly give a star to the repository to support its development!
Screenshort
Conclusion
This innovative system aims to enhance safety in swimming pools and other water bodies. By utilizing the latest advancements in computer vision and machine learning, the Drowning Detection System offers an effective solution for early detection of drowning incidents, potentially saving lives in critical moments.