Recording tells you what happened. NDIS detection tells you what’s happening — the instant a line is crossed, a fence is breached or an object is left behind. Real-time AI analytics that surface real risk, cut false alarms, and trigger the response automatically.
Each detector runs on the camera feeds you already have — tuned to its own rules, drawing its own boundaries, and firing the moment behaviour crosses the line. Configure them per camera, per zone, per schedule.
Draw a tripwire anywhere in the frame and detect the instant a person or vehicle crosses it — with the direction of travel, so an exit never trips an entry alarm.
Replace physical perimeters with software ones. Draw a multi-point virtual fence around any area and get alerted the moment it’s breached — no trenching, no hardware, reshaped in seconds.
Define a protected area and detect any unauthorised entry into it — classified by person or vehicle so wildlife, weather and shadows don’t flood the control room with noise.
Flag people who linger in a zone longer than they should. Set a dwell threshold per area — an ATM lobby, a stairwell, a loading bay — and surface the behaviour that precedes most incidents.
Lock down zones that should stay empty — server rooms, runways, track-side, hazardous bays. Any presence triggers an alert, with time-based rules so authorised crews pass freely on schedule.
Spot bags, packages and parcels left unattended past a set time — and the reverse: object removal from a protected display. Critical for transport hubs, retail floors and public spaces.
A detection isn’t the end of the job — it’s the start of one. Every analytic event flows straight into the NDIS operational layer, where it’s verified, located and acted on automatically.
Analytics run continuously on each camera stream, classifying people, vehicles and objects against the rules you’ve drawn.
Object class, dwell time and direction rules suppress wildlife, weather and shadows — so only real risk reaches an operator.
The event drops a geo-located pin, links the nearest cameras and opens a single prioritised incident in the control room.
The matching playbook runs automatically — locking doors, notifying teams and guiding the operator through every step.
Proactive detection changes the economics of security — you cover more ground with the same team, catch threats earlier, and stop paying the cost of cameras nobody can watch.
Detect the line crossing, the loiterer, the breach — while there’s still time to act, not after the fact on playback.
Object classification and rule-based filtering cut the nuisance alerts that cause alarm fatigue and ignored notifications.
The AI watches every feed so your team doesn’t have to — attention goes only where a detector raises its hand.
Vendor-agnostic analytics work across ONVIF, RTSP and proprietary streams — no rip-and-replace, no new hardware.
Every alert flows into SOPs, maps and workflows — the threat is found and handled, not just logged for later.
Draw zones, set thresholds and schedule rules per camera — detection adapts to your layout, not the other way around.
In a 30-minute session we’ll point the detectors at a sample of your cameras, draw the rules live, and show line crossing, intrusion and abandoned-object detection firing real workflows — on your sites, your zones, your SOPs.
© 2007-2026 Nanodems Corp. All rights reserved.