News/Video analytics

Video analytics for a specific task

From the scenario to a test on real footage.

A vision system highlights a forklift in a warehouse aisle

“Monitor forklifts” could mean entering an aisle, stopping at a gate or occupying a loading zone for too long. Each condition needs its own definition and a different test.

Set the event boundary

Consider a forklift entering a pedestrian aisle. Mark the boundary, direction of travel and the point on the vehicle used to determine crossing. Agree what happens when a forklift stops on the line or briefly reverses. The result is a rule with a clear trigger time.

Collect the exceptions

Include normal entries, an empty aisle, similar-looking trolleys and vehicles obscured by cargo. Capture different shifts and lighting. Keep footage of a single journey together so near-identical frames are not used for both tuning and evaluation.

Measure whole episodes

Operators care about useful alarms per shift. Compare events, timing and duplicates. Reviewing a missed entry might reveal that a shelf hides the part of the vehicle used for crossing. In that case changing the camera angle may help more than tuning the detector.

Connect the event to warehouse operations

Send a camera identifier, zone, timestamp and recording reference. Check delivery to the shift interface and test a short network interruption. The workflow is complete when the responsible person can open the evidence and decide what to do.

Video analytics development