Visual analysis
Computer vision analyses objects, activity and temporal patterns within compatible CCTV streams.
SENTRL AI applies computer vision and video analytics to compatible CCTV streams so relevant environmental activity can be identified, structured and reviewed.
Discuss a pilot ↗Conventional CCTV primarily records visual evidence. AI analytics adds software capable of analysing what is occurring within the camera stream and identifying patterns relevant to a specific operational purpose.
For environmental monitoring, SENTRL AI uses this intelligence layer to help surface potential fly-tipping activity and create useful incident context for authorised teams.
Computer vision analyses objects, activity and temporal patterns within compatible CCTV streams.
Relevant activity can be converted into structured events rather than remaining buried inside ordinary video.
Where compatible, organisations can add AI capability to existing CCTV instead of starting from an entirely new camera estate.
CCTV AI analytics use artificial intelligence and computer vision to analyse video streams and identify useful events or patterns automatically.
Often yes, where cameras expose compatible video streams and the network, security and integration requirements can be met.
The current public environmental focus is fly-tipping detection using relevant camera activity and incident context.