OVERWATCH opens multi-sensor edge stack

The interesting part is not just that it runs on commodity hardware, but that it collapses a bunch of once-fragile enterprise workflows into a reproducible open stack. The self-calibrating homography is the most consequential piece: if that holds up in messy real-world scenes, it removes one of the biggest deployment barriers for multi-camera systems.

• –Single-GPU singleton inference means the system scales viewers without linearly scaling compute, which is the right architecture for shared situational awareness
• –Cross-camera calibration via observed co-visibility is a practical workaround for manual site surveys and makes camera drift recoverable
• –The stack shows how far edge perception has moved: person detection, tracking, and basic world-model fusion are now accessible on a dev kit
• –The real ceiling is no longer raw detection, but robustness under occlusion, lighting change, and multi-modal fusion beyond vision
• –This feels like a reference implementation for civilian/public-safety experimentation more than a finished product, which is exactly where open-source should push the boundary