RULE LIBRARY / CROWD_DETECTION

Entry/Exit Analytics (Age / Gender)

Anonymous demographic entry/exit analysis with heat-map reports.

  • ✓ No extra hardware
  • ✓ Live the same day
  • ✓ GDPR-ready, anonymous
ALGI_RULE · crowd_detection
Entry/Exit Analytics (Age / Gender)
SAMPLE DETECTION FRAME

HOW IT RUNS ON EDGE

Camera to notification: the rule's pipeline

Footage is processed on the Edge device in your store or site: the model analyses frames in real time, an event is raised when the rule condition is met, and every notification channel fires at once.

TECHNICAL · CROWD_DETECTION

What it needs and how it works

Entry/Exit Analytics (Age / Gender) ships as a ready-made rule and is configured for your site. The rule counts people in a defined area anonymously and tracks density continuously. No identity data is processed — only counts and occupancy. When a threshold is exceeded an event is raised and the alert reaches the right team. Processing runs on Edge, GDPR-compliant by design.

Rule type
crowd_detection
Solution line
Algi Edge platform
Hardware
No extra hardware — existing IP cameras
Deployment
Live the same day · Edge or on-prem

This rule is part of the Algi Edge platform rule set and runs on the IP cameras you already own.

How false alarms are reduced

Heavy overlap, mirrors/reflections and wide-angle distortion can affect counts. Camera placement, counting-line position and scene calibration improve accuracy.

Alert and action

The rule runs ready-made on Algi Edge; the alert reaches the dashboard, email and API/webhooks at once and can become a task in one click.

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