AI Video Analytics Software That Turns Your Existing CCTV Into Real-Time Intelligence

Traditional CCTV mainly records footage for later review, so incidents tend to surface hours afterwards during a manual search through video. AI video analytics analyzes every feed continuously and can raise an alert the moment an event happens. It also turns raw footage into searchable metadata and operational insight, rather than leaving you with hours of video nobody has watched.

In most cases, no. The platform is designed to work with the IP and CCTV cameras, NVRs and VMS platforms you already run, reading their standard RTSP or ONVIF streams. Actual compatibility depends on the streams your specific equipment exposes and on your system configuration.

Tested detection accuracy is 97%, measured under defined test conditions. Accuracy in practice varies by analytic, camera placement, scene conditions and site configuration. The models are designed to identify relevant events in real time while helping reduce false alerts caused by common scene conditions such as shadows, changing weather and animals.

Pricing is subscription-based rather than a one-off purchase, and scales by the number of cameras connected, the number of sites, or the specific modules you enable. Because every deployment differs in scope, pricing is quoted per deployment rather than published as a fixed rate. Tell us your camera count, sites and the analytics you need, and we will put a figure to it.

The platform covers PPE and safety detection, ANPR and number plate recognition, people counting and footfall, intrusion, loitering and line-crossing, face recognition, fire and smoke detection, crowd density, slip and fall detection, phone usage in restricted areas, and camera tampering. It can also monitor the health of your CCTV and NVR estate, flagging offline or misaligned cameras. Which analytics you run is configured around your own zones, rules and detection needs.

The platform is designed for manufacturing and warehouses, retail and malls, logistics and yards, gated communities and facilities, banking and ATMs, and smart city and government environments. Priorities differ by sector — PPE compliance and fire early warning in industrial settings, footfall and security monitoring in retail, ANPR and perimeter security across logistics and access-controlled sites. The same platform is configured differently for each.

In most cases no new hardware is required — the software connects to the cameras, NVRs and VMS platforms you already run, using their existing RTSP or ONVIF streams. Actual compatibility depends on the streams available from your equipment and on your system configuration. Where the processing runs is a separate choice: edge and on-premise deployments run the analytics on-site.

Privacy considerations depend on your jurisdiction, your use case and how the system is configured, so the legal position is something to settle with your own advisers. What the platform gives you is control over the architecture: with edge or on-premise deployment, analytics can run on-site and video can remain within your premises. That means you decide where footage is processed and stored, and who is able to access it.

Yes. You can start with the modules you actually need — face recognition, ANPR, PPE detection or any other — rather than deploying everything at once. The platform is designed to support expanding analytics, cameras, sites or deployment models as requirements grow.