What AI video analytics detects
Analytics watch for what a person can’t watch for continuously: a person in a yard after hours, a vehicle stopped where vehicles don’t stop, movement across a fence line, loitering at a rear door, an object left where it shouldn’t be. Detection zones and rules are built around the site, so an alert means something happened, not that a tree moved.
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From hours of footage to an answer in seconds
The old way to find an incident is scrubbing video. Analytics index everything the cameras see, so footage is searched by what’s in it: a person in a red shirt, a white ute, movement in one doorway between 2am and 4am. Investigations that took hours take minutes, and natural-language search across footage is arriving as the next step. When the answer is needed by police or an insurer, it exports with its integrity intact.
Operational intelligence, not just security
The same cameras answer business questions. People counting and heatmaps show how customers move through a store, where they dwell and where they don’t, informing staffing, layout and sales decisions. Queue analytics flag when service points need another person. The security system becomes a data source the business actually uses.
AI theft detection
Gesture-recognition analytics detect the movements of concealment as they happen, and alert staff or a monitoring operator in real time rather than after stock is gone. Alltronic runs AI-driven theft detection on live retail sites today, including fully staffless stores where the technology carries the loss-prevention role entirely.
Sound as a sensor
Cameras with audio analytics classify what they hear: breaking glass, a scream, aggression. Sound covers what the lens can’t see and adds a second signal to verify events before response.
Fewer false alarms, faster response
Analytics verify before anyone is dispatched. A monitored site with AI verification sends operators an event with the detection, the footage and the classification together, so patrols attend real events. Detail on the response side sits with our commercial alarm and camera monitoring page.
Engineered on the right platform
Analytics run in two places: on the camera itself, where detection happens at the edge in real time, or in the VMS, where Wisenet WAVE and Milestone XProtect bring search, dashboards and multi-site management. We design where each function runs based on the site, the network and what the analytics need to do, on camera platforms including Hanwha, Axis and Avigilon. Reading number plates is its own discipline: see our ANPR and licence plate recognition page.
Commercial Security Systems
Frequently Asked Questions
01What is an AI security camera?
A camera whose footage is analysed in real time by software that classifies people, vehicles, objects and behaviour, turning video into alerts and searchable data.
02Do AI cameras reduce false alarms?
Yes, substantially. Detection rules distinguish a person from headlights, animals and weather, so alerts and monitored response are triggered by real events.
03Can AI analytics run on our existing cameras?
Often. Analytics can run in the VMS across existing cameras that meet standard; on-camera AI needs capable hardware, which we confirm at inspection.
04What business insights do camera analytics provide?
People counts, heatmaps, dwell times and queue data that inform staffing, layout and sales decisions.
05Can it alert us to specific vehicles?
Yes. Watchlists trigger alerts the moment a listed plate is read, on site or to a monitored response.
06Can AI detect theft?
Yes. Gesture-recognition analytics detect concealment behaviour in real time. We run this on live retail sites, including staffless stores.
07Is AI camera footage private?
Analytics data follows the same retention, access and audit rules as the footage itself, set with you at commissioning.
