I built a real-time campus surveillance system that turns raw video into actionable incidents — here's how EyeNet works
Most "AI surveillance" demos I see online stop at object detection: a bounding box, a confidence score, done. That's not actually useful for a security team. A camera that just says "knife detected" a hundred times a second because of one flickering frame is worse than no camera at all.
So I built EyeNet — a camera-first, real-time incident response system that treats detection as just the first step in a pipeline that ends in a structured, queryable, actionable event.
The problem
Talk to any campus security or discipline team and you'll hear the same pain points:
