Flagrant AI turns cameras and drones into intelligent detection and monitoring systems — for the people who run cities, sites and infrastructure.
Scroll to watch the system work a live site. Every detection carries a class, a confidence score and time-stamped evidence — tracked routinely, escalated the moment someone needs to act.
No new hardware, no control room, no analysts to hire. Flagrant runs on the lenses you already own — here is the system your team actually touches.
Frame in, verdict out. Every feed passes the same detect–classify–route pipeline in under two seconds.
Every camera's field of view mapped to the sites and assets it watches — gaps visible, not guessed.
Frames are time-stamped, hashed and retained the moment a detection fires — admissible, not anecdotal.
Fixed CCTV, drone flights, redeployable and vehicle-mounted cameras — a secure, read-only connection to any feed you already operate.
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CAM_017 — KERB EAST
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CAM_009 — SERVICE RD
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CAM_031 — SITE 3 GATE
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UAV_02 — PYLON RUN
Purpose-built models flag what matters with a class, a confidence score and time-stamped frames. Your officers review, confirm and act — from one queue.
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Live alerts for what can't wait. Scheduled, evidence-backed reports for everything else — delivered to your teams and your systems, ready for enforcement.
The same detection engine, tuned to what each operator needs to see.
Fly tipping, graffiti, abandoned vehicles and anti-social behaviour — detected from the CCTV estate you already operate, with the evidence trail enforcement needs.

Site safety and security without a gatehouse — PPE compliance, restricted-zone intrusion, plant and delivery tracking, out-of-hours monitoring.

Portfolio-wide monitoring from your existing camera networks — perimeter breaches, occupancy and dwell patterns, vehicle management across every site.

Asset condition at drone speed — structural defects, vegetation encroachment and unauthorised access, across networks too large to walk.

Send us a sample — a day of CCTV or a drone survey — and we'll return it annotated. What we found, where, and with what confidence.