This repository implements a fall detection model using OpenPifPaf’s deep learning-based human pose estimation. The system detects falls by analyzing human body poses in video and can run on both GPU and CPU across multiple video sources, RTSP streams, and USB cameras. It includes a person tracker to handle scenes with multiple people simultaneously.