Most buildings already have enough cameras. What they lack is anyone able to watch them. VADALEX.AI is the analytics layer we add on top of an existing installation so the system reports events instead of storing footage nobody reviews.

How it should work

Connect the streams. The platform ingests video from existing IP cameras and NVRs — in most projects no hardware replacement is required.

Define what matters. Per camera, the operator marks zones and rules: restricted areas, opening hours, loitering thresholds, occupancy limits, vehicle lanes.

Detect. The models run continuously, identifying people, vehicles, objects left behind, crowd density, direction of travel and unusual movement patterns.

Decide. A detection alone is not an alert. Rules combine detection, zone, time of day and repetition so the system escalates real events rather than every passing shadow.

Notify. Alerts arrive with a video clip attached — in the control room, by push notification, or into an existing security platform through the API.

Act. Where access control is integrated, high-confidence events can trigger automatic responses: lock a door, hold an elevator, switch a camera to record at full rate.

Typical deployments

Perimeter protection after hours, restricted-room monitoring, occupancy and queue analytics in retail, parking and vehicle flow, and safety compliance in industrial areas.

What to expect operationally

The first two weeks are tuning: thresholds are adjusted per camera until the alert volume is something a human can actually process. A well-tuned site typically goes from thousands of motion events per day to a handful of meaningful alerts — which is the entire point.