Presence in assigned areas
Evaluated in real time within the configured camera region.
Make video measurable for capacity, utilization and bottleneck visibility.
Illustrative imageColt AI makes area use, movement and waiting patterns visible for process improvement and capacity planning.
Evaluated in real time within the configured camera region.
Evaluated in real time within the configured camera region.
Evaluated in real time within the configured camera region.
Evaluated in real time within the configured camera region.
Evaluated in real time within the configured camera region.
Camera and region rules are managed in the web dashboard. Events are recorded with camera, region, time, type and visual evidence. Notification behavior is configured by team and role.
Illustrative imageCamera count, network topology, latency needs and organizational data policies are assessed together. Colt AI is not a cloud-only solution.
The required processing infrastructure is designed around active cameras, enabled AI modules and site requirements.
Essential questions about camera compatibility, configuration and project architecture.
No. The design focus is process visibility, capacity planning and bottleneck detection.
Presence in assigned areas, workstation use, waiting, inactivity and movement patterns can be evaluated through configured scenarios.
The focus is not names or identity, but operational visibility into area, time, workstation and process patterns.
Time and shift ranges can be configured to review area-use and waiting patterns across operational periods.
Area use, workstation activity and recurring waiting points provide measurable input for capacity and process-improvement work.