The sector's friction
Traditional video surveillance records, but doesn't interpret: someone has to be watching the screen at the exact moment something happens, or review the footage afterward — after the problem already occurred. With multiple cameras and long shifts, constant human attention is simply a limited resource.
How we apply our technology
We apply computer vision to detect specific events in video in real time — presence in restricted areas, anomalous behavior, objects out of place — and generate an immediate alert instead of relying on constant screen monitoring.
Expected result
The value of a video analytics system lies in reducing the time between an event occurring and someone finding out — from hours or days (later review) to seconds. We don't have a security case documented with our own data yet; our closest technical evidence in real-time visual detection is Spray Analyzer.