Glimpse uses computer vision to turn your in-store cameras into a high-accuracy footfall counting system. Delivers reliable footfall data, conversion insights and estate-wide analytics without installing new sensors.
Capture
We receive frames from your existing CCTV cameras
Detect
Our AI-based computer vision model detects people and creates anonymised position data
Track
A persistent ID follows each person within the view for clean and accurate counts
Proven high accuracy
Our computer vision models are optimised for real retail environments, handling crowds, partial occlusion and challenging lighting to deliver up to 98% accuracy on accepted camera views.
More than just footfall
Measure passers-by, in-store dwell time, queues and customer flow. Giving you the data needed to understand your full store conversion funnel.
Privacy-safe by design
No video is stored and no personal data is captured. The system only processes anonymised bounding-box data, simplifying GDPR compliance.
Built for multi-store retailers
Aggregate and compare performance across your estate, benchmark stores, and integrate data directly into your analytics stack with our API.
Query and report on your data using the Glimpse dashboard, or integrate with your own systems using our API.
Footfall
Report on footfall counts across your estate, down to 15-minute level resolution
Dwell
Count entries and measure average and total dwell time for any zone
Heatmaps
Visualise exactly where customers spend time within your stores
Glimpse is trusted by leading retailers including M&S, Harrods, and Hotel Chocolat
- What hardware do we need?
Your existing IP CCTV in most sites. We assess each view during scoping. - Do you store video?
No. We process frames and keep anonymised coordinates only. - How accurate is it?
We validate each accepted camera view against a human count before launch. - How do you price it?
Pricing reflects number of cameras, stores, and features. Ask for a pilot quote.