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How AGen CCTV face AI detection Works Technically

Step 1
Cameras – Positioned to capture the corridor, not the toilet doors themselves. The field of view is deliberately cropped or masked to exclude any view inside the restroom.


Step 2
Detection – AGEN edge AI‑based people counting or person‑re‑identification (ReID) models. These models can track a person as they move through the corridor, assign a ID, and log entry/exit events.

Step 3
Data processing – AGen Edge AI devices or cloud servers process video in real time. Raw video is often immediately discarded or never stored; only metadata (timestamps, employee IDs, duration) is retained.


Step 4
Analytics – AGen Dashboards show occupancy heatmaps, average visit durations, and alerts when an individual’s pattern deviates significantly from their own baseline or from team averages.