Dolphin Pool Safety System

The Project

Drowning ranks among the leading causes of injury and death for children in the U.S. My solution, the Dolphin Pool Safety System, proposes a novel approach: a hardware device housing a Raspberry Pi and camera, enclosed in a 3D-printed case, continuously monitors pool activity. The camera feeds footage to an AI model I trained using 500 images and uses CV2 and YOLOv5 for object detection, segmentation, and classification. This model accurately identifies and tracks individuals and pool boundaries by drawing bounding boxes with specific coordinates and alerts a mobile app if the boxes for the pool intersect with the boxes for the children. The app, developed with Flutterflow, offers a simple and user-friendly interface with features such as device pairing, where users can enter a six-digit serial code unique to each device to connect, live pool status updates, where users can see information such as the number of people in the pool, pools detected and if people are in the pool, and alerts on detected individuals in the pool. As this type of product is not commonly seen on the market, my goal is to create a solution that is cheap and readily accessible to the general public.

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