Watch a technical talk exploring MicroCam, an innovative low-power occupancy detection system designed for residential HVAC energy optimization. Learn how this standalone multi-modal sensor platform processes motion, audio, and video data locally using AI-based technology, while maintaining privacy by only transmitting binary occupancy states. Professor Senem Velipasalar from Syracuse University discusses the platform's development, its advantages over existing solutions, and comprehensive evaluation results. Discover how this cost-effective system operates on standard alkaline batteries without cloud dependency, offering a practical solution for reducing energy waste in building climate control systems through intelligent occupancy detection.
MicroCam - A Low-Power and Privacy Preserving Multi-modal Sensor Platform for Occupancy Detection
EDGE AI FOUNDATION via YouTube
Overview
Syllabus
tinyML Talks: MicroCam: A Low-Power and Privacy Preserving Multi-modal Sensor Platform for Occupancy
Taught by
EDGE AI FOUNDATION