Case study: Retail
Anonymous camera observations were connected to spatial movement and shelf-attention signals.
System
A retailer wanted to understand how shoppers moved through a physical store and which shelf areas attracted attention before a purchase, without identifying individuals. Sales records showed only the final transaction, while people counting and person detection could not reveal what someone looked at. An ordinary store camera also provided no reliable training label for the shopper's true gaze direction.
The store was mapped into a shared coordinate system and anonymous camera tracks were localized within it. During model development, eye-tracking glasses supplied the missing gaze ground truth, linking camera imagery, shopper position and the shelf actually viewed; deployment then required only the ordinary camera feed to estimate shelf-attention events.
How did camera observations become spatial and gaze information?
Use the controls below to inspect the key stages, constraints and validation decisions in that process.
Move through a short example to see how a shopper position becomes a shelf-level attention pattern.
Evidence retained: Review connected the source camera frame, anonymous position, estimated gaze target and accumulated shelf attention.
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