Housing Society CCTV Analysis — Find Incidents Fast

Most housing societies in Ahmedabad, Rajkot or Vadodara have made the CCTV investment — sixteen or thirty-two cameras covering gates, parking, lifts and the compound — and then discovered the uncomfortable truth at the first real incident: recording is not the same as finding. A resident's scooter mirror is broken overnight, a parcel disappears from a lobby, an unknown person is reported loitering near the children's play area — and the committee's response is a security guard scrubbing through sixteen camera-nights of footage on a DVR interface designed in 2012. After two evenings of squinting, the search is quietly abandoned, the resident stays angry, and the society's lakhs of camera spend delivers exactly nothing when it mattered.

Krishna Intelligence turns the society's existing footage into something searchable. Export the relevant period from the DVR, run a batch scan, and the YOLOv8 engine flags every person and vehicle event across all cameras — the empty hours vanish, leaving a timeline of actual activity to review. The colour filters match how residents report things: "a man in a blue shirt near B-wing around midnight" becomes a filtered query rather than a night of viewing. Vehicle detection with number-plate OCR answers the perennial parking disputes — which car entered after 11 PM, when did the unknown white SUV leave — and the suspects folder lets the watchman's photographs of previously flagged individuals be matched automatically against new footage.

For committees, the reporting side settles arguments. Findings compile into an SHA-256 verified report shareable by WhatsApp link — to the affected resident, the society group, or the local police station if an FIR follows — with frames and timestamps that cannot be quietly edited by anyone afterwards. That verifiability matters in society politics, where accusations are sensitive and a chairman needs to show exactly what the footage does and does not establish. Practically, a society can run analysis per incident without buying new cameras or replacing the DVR: the intelligence layer works on exported files from the existing system. The ₹2-3 lakh already spent on cameras finally behaves like a security system rather than a ceiling decoration with blinking lights.