Definition
CCTV analytics
Software that reads existing camera feeds and turns video into searchable safety events.
What it means
CCTV analytics uses computer vision to classify events in camera footage. In a safety deployment, the useful output is not a dashboard chart. It is a timely event with camera, zone, timestamp, and action context.
Why it matters
Most facilities already record enough video. The gap is active interpretation during the moment when a response can still change the outcome.
Evaluation questions
Does the platform work with current RTSP or ONVIF streams?
Does it create events operators trust?
Can it reduce manual review instead of adding another screen?
Continue Exploring
CCTV AI analytics guide
A practical guide for turning existing cameras into safety inputs.
Platform architecture
Review how DHI runs inference, event routing, and camera ingest.
Edge AI safety evaluation guide
Use a structured checklist to evaluate platform fit before a pilot.
Pricing and pilot scope
Understand what changes the final pilot and rollout scope.
Validate cctv analytics in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
Request a demo
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
See deployment architecture
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Get the implementation checklist
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Talk to an engineer
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.