Accurate Unique Visitor Counting
appearance-based unique visitor counting — not raw motion overcounts.
Learn more →Industry
Retail & Commercial
Accurate footfall counts, visitor behavior analytics, and known shoplifter or banned person detection — with unique visitor headcount, demographic breakdowns, and instant blocked-person alerts.
Overview
Retail intelligence beyond headcount sensors
Retail and commercial facilities need accurate visitor counts, loss prevention, and staff safety — not motion sensors that overcount every passing shadow.
The challenge
Inaccurate counts and slow loss prevention
Motion-based counters inflate numbers. Known shoplifters return unnoticed. Peak-hour staffing decisions lack reliable occupancy data. Security reviews hours of footage after incidents.
Solutions
Retail-ready analytics and alerts
- Unique visitor counting — no duplicate counts
- Hourly footfall trends and demographic breakdowns
- Blocked person detection with instant alarm
- Per-camera and per-entrance breakdowns
- Visitor gallery with timestamped images
- Mobile alerts to floor security staff
Use case
Shopping mall or flagship store
Entry cameras count unique visitors throughout the day. Known banned individuals trigger immediate alerts when recognized. Management reviews footfall trends to optimize staffing and promotions.
Analytics
From raw video to business intelligence
Footfall analytics uses appearance-based matching to count each person once — giving operations teams reliable daily, hourly, and per-entrance data for planning and reporting.
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Request a demo or talk to our team about on-premise deployment for your environment.