Body detection
HomeGuard first identifies the person in frame so the system can focus on human movement instead of background motion.
YOLOv8How it works
HomeGuard is a standalone project in the Aegis family. This page introduces the concept: a home camera runs edge AI locally, detects fall patterns, and sends only the alert evidence a trusted family member needs.
HomeGuard first identifies the person in frame so the system can focus on human movement instead of background motion.
YOLOv8The system extracts key body joints and follows posture changes over time, including torso direction and limb position.
MediaPipeAcceleration, body angle, and sudden posture changes are compared to understand whether the movement resembles a fall.
OpenCVWhen a fall is classified, HomeGuard prepares an encrypted alert and a short event clip for authorized family review.
Smart decision engineAnalysis runs on-device using edge AI. Raw footage stays inside the home unless a real alert needs review.
Only encrypted event clips and alert details are shared with authorized family members.
The workflow is designed around practical movement signals: person detection, pose change, acceleration, and body angle.