Computer vision
AI models analyse camera frames and activity patterns to recognise relevant visual events.
SENTRL AI adds an intelligence layer to compatible camera infrastructure so organisations can understand important environmental activity without manually watching every camera stream.
Discuss a pilot ↗Traditional camera systems are excellent at recording what happened, but important events can remain hidden inside large amounts of ordinary footage. Camera intelligence applies computer vision to help separate meaningful events from background activity.
SENTRL AI is designed to convert relevant camera activity into structured environmental intelligence that can support faster review, clearer incident handling and more efficient monitoring.
AI models analyse camera frames and activity patterns to recognise relevant visual events.
Important activity can be surfaced while it is happening rather than discovered only after reviewing recorded footage.
Structured incident information helps teams move from camera activity to review and response.
AI camera intelligence uses computer vision and video analytics to help software understand relevant activity within camera streams rather than simply recording video.
Yes, compatible CCTV and IP camera streams can provide the visual input required for AI analytics where the necessary technical integration is available.
The current environmental focus is intelligent fly-tipping detection and incident response.