fall-detection

AlphaPose + ST-GCN + SORT.

Fall Detection using OpenPifPaf's Human Pose Estimation model

Real-time, Multi-person & Multi-camera Fall Detector in Python

Real-time ADLs and Fall Detection implement TensorFlow

The core runtime engine for Ambianic Edge devices.

Human Falling Detection

ADL and Fall Detection

WiFi CSI non-invasive elderly fall detection (no camera)

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

Detect a person fall in videos using OpenCv

WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.

Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring

AI-powered multi-camera surveillance with posture classification, fall/inactivity detection, heatmaps, and real-time alerts. Built using OpenCV, MediaPipe, Streamlit & Flask.

This repository contains the source code for the paper Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

AI powered camera and event detection system

SentinelFlow - multimodal world-model and fall-detection intelligence showcase

Realtime Fall Detection and Human Activity Recognition using Multilayer Perceptron Neural Network from gyroscope and accelerometer sensor sent from a ESP-32 Microcontroller

Code and released reproducibility materials for LEBRef: Linear Event-Bag Refinement for Continuous Wrist-Worn Fall Detection.

Real-time, stateless human fall detection desktop application utilizing YOLOv11 pose estimation, OpenCV, and PySide6.

Single run action detector on video stream data