Video analytics uses AI to interpret footage in real time — detecting patterns, anomalies, or specific events — rather than storing footage passively for someone to review manually later. 

 Intelligent video analytics adapts to patterns in a specific environment over time, improving detection accuracy rather than relying on fixed, one-size-fits-all rules that don’t account for a site’s actual conditions.

Predictive security analytics looks for early indicators of risk based on patterns in surveillance and site data, aiming to flag potential issues before they escalate rather than only responding after an incident occurs.

A surveillance intelligence platform consolidates analytics output into actionable insight — helping security and operations teams prioritize what needs attention rather than sorting through raw footage or disconnected alerts. 

Operational intelligence applies surveillance analytics beyond security alone — surfacing patterns in site activity, traffic, or usage that can inform broader operational decisions, not just security response.

Yes — surveillance analytics systems can refine detection accuracy as they process more data from a specific site or environment, becoming more attuned to that site’s normal patterns versus genuine anomalies.