Fall Detection using YOLOv8 (Python)

📌Project Overview

This project focuses on Fall Detection using YOLOv8. It detects whether a person is standing or has fallen using a trained custom YOLOv8 model. Designed for patient monitoring in hospitals, but adaptable for elderly care, workplace safety, and surveillance systems.

🛠 Tech Stack

Python

YOLOv8 (Ultralytics)

OpenCV

Pandas

cvzone

Roboflow (for dataset annotation)

Google Colab (for training)

├── main.py # Main detection script ├── classes.txt # Class labels (e.g., person, fall_patient) ├── best.pt # Trained YOLOv8 model weights ├── video1.mp4 # Sample test video ├── video2.mp4 # Sample test video ├── video3.mp4 # Sample test video └── README.md # Project documentation