AI Video Analytics

Analyse authorised streams from CCTV, PTZ, body-worn, vehicle, thermal and aerial cameras. Edge, local-server or central processing can be assessed according to bandwidth, latency, resilience and data-handling requirements.

Capabilities can include people, vehicle and object detection; face matching; person re-identification; licence-plate recognition; crowd and occupancy analysis; perimeter intrusion; line crossing; loitering; abandoned or removed objects; smoke and fire indicators; personal protective equipment; falls; aggressive behaviour; weapons and other defined visual events.

Each model must be validated against the actual cameras, viewpoints, lighting, environment and operational threshold. A capability is not treated as verified until that validation is complete.

Rules and learned models can identify unusual movement, restricted-zone activity, tailgating, unsafe behaviour or other patterns relevant to an approved operation. Natural-language event descriptions and forensic search can help authorised users narrow long recordings to material requiring review.

A useful alert includes the event type, source, time, location and supporting frame or clip. Confidence and threshold information can help trained operators prioritise review. Approved workflows may acknowledge, dismiss, escalate or attach an alert to an incident record.

Connect with compatible cameras, video management systems, command platforms, access control and notification channels through authenticated interfaces. Offline, edge, on-premises and private-cloud designs depend on the selected analytics, hardware and integration landscape.

Biometric and surveillance uses require clear authority, purpose limitation, role-based access, retention controls, audit history and trained human review. Legal basis, policy, evidence handling and acceptable thresholds are To Be Confirmed for each deployment.