The problem
When a property relies on CCTV, an operator may have to watch twenty or more screens at once. Concentration drops sharply after about twenty minutes, adding more operators multiplies cost, and in practice the footage is mostly used as evidence after something has gone wrong rather than to prevent it. The feeds deliver very little security value for the money.
What we did
We helped build ARRT, a trigger-based recognition system that sits on top of existing video feeds for property management. It identifies and classifies security and health concerns across several levels, from thermal imaging for fevers, smoke, and fire, to behavioural patterns, entry and exit events, and AI-specific triggers such as facial recognition. Anything suspicious is sent as a real-time alert, so one operator can effectively watch far more and respond faster.
The outcome
An AI layer that turns passive camera networks into round-the-clock incident prevention, letting smaller teams cover more ground with quicker response.