An open source, edge-ready surveillance system that fuses visual and heatmap intelligence to detect human presence reliably in low-light and high-risk environments.
Project Overview
This project is an open source hardware surveillance system designed for low-light and challenging environments. It improves safety by detecting human presence even when visibility is poor.
How It Works
The system combines normal camera input with heatmap-based spatial information. Instead of relying only on appearance, it analyzes overall scene activity to understand whether someone is present.
Smart Processing
It follows a classification-first approach. The system checks if there is meaningful activity before running detailed detection. This reduces false alarms and saves computational power.
Edge Deployment
The entire solution runs on affordable devices like Raspberry Pi. It does not require high-end GPUs, making it practical for real-world use.
Applications
The system can be used in farms, warehouses, industrial sites, and rural areas where reliable surveillance is important.
Open Source Vision
Both hardware and software are open source, allowing communities and developers to adapt, improve, and deploy the system for safety-focused applications.