Computer vision for retail
Globus Camera Analytics
A computer-vision system that turns retail CCTV footage into business intelligence — tracking footfall, customer movement flows and in-store behaviour to power data-driven retail optimization.
- Engagement
- Applied AI delivery
- System type
- Computer vision for retail
- Primary outcome
- Operational leverage
Challenge
The existing operating model made computer vision for retail slow to inspect, difficult to scale and dependent on manual coordination.
Response
Real-time footfall detection and counting with multi-camera fusion. Customer movement trajectory analysis across store zones
Result
Grounds staffing, store layout and promotional placement decisions in real customer-behaviour data.
System architecture
From signal to controlled action.
01
Real-time footfall detection and counting with multi-camera fusion
02
Customer movement trajectory analysis across store zones
03
Dwell time, zone engagement and heatmap generation
Business value
The system changes the operating baseline.
Grounds staffing, store layout and promotional placement decisions in real customer-behaviour data.
Next case: Churn Prediction ML