drowning-detection

Drowning Detector - A computer vision project using OpenCV and deep learning to detect drowning incidents in videos.

High-efficiency Drowning Target Detection System 🏊

Automated Drowning Detection: A repository showcasing a deep learning-based solution using YOLO v8 architecture for swift and accurate identification of drowning instances in aquatic environments. Enhanced accuracy through meticulous fine-tuning and integrated methodologies. Empowering drowning incident response systems for improved efficiency.

detect drowning probability in swimming pool

Training swimming style recognition

Swimming style recognition application with android wear os

TCC: Detecção de afogamento em piscinas com YOLO (yolo11n, yolo26n, yolo26s) — Visão Computacional

A lightweight real-time drowning detection model that runs on a low-cost edge devices, designed for deployment in low-income regions.

Drowning device using a custom YOLOv11n model, Raspberry Pi, and AI camera

A Raspberry Pi–based drowsiness detection system that watches for eye closure using computer vision and sounds an alarm when the driver appears sleepy. Built as a simple, real-time safety project to help reduce fatigue-related accidents.