Hawk-Eye

We built Hawk-Eye as a compact ARGUS detection layer, about 10 MB, so it can sit next to a camera or on modest control-room hardware instead of requiring a server per site. The same model runs the checks a department configures for its ground: crowd build-up, traffic stoppage, a visible weapon, disorder in a gathering, and the wider visual-intelligence jobs the force sets.

When a check fires, the control room gets the frame and the camera it came from. Nothing is concluded by the system. An officer confirms it; only then does it become a message to the personnel already standing at that sector. Eagle Eye, also powered by ARGUS, is the adjacent review workflow: CCTV, drone, phone, and online video into one human-led comparison queue.

On the Pahalgam route, the grid ran as one surveillance layer rather than a wall of separate screens. A surfaced event arrived with the feed and location command needed to verify it and coordinate the nearest ground team. Times Now and Akashvani covered the Amarnath security operation under Project Hawk Eye; The New Indian Express reported the 416-camera grid and, separately, a facial-recognition alert at Nunwan base camp that personnel on the ground then assessed.

In Bareilly, Dainik Jagran reported that Hawk Eye AI software in the Police Lines zonal control room raised an alarm and put the relevant image on screen for crowd surges, prolonged traffic stoppages, visible weapons, and fights in a crowd. That is the loop we built: the frame surfaces, an officer confirms it, and the alert goes to the sector while the route is still moving.