Cashier-Free Shopping

Grab is a sensor processing system for cashier-free shopping. Grab needs to accurately identify and track customers, and associate each shopper with items he or she retrieves from shelves. To do this, it uses a keypoint-based pose tracker as a building block for identification and tracking, develops robust feature-based face trackers, and algorithms for associating and tracking arm movements. It also uses a probabilistic framework to fuse readings from camera, weight and RFID sensors in order to accurately assess which shopper picks up which item.

Source: Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping

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Paper Code Results Date Stars

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Task Papers Share
Entity Resolution 1 33.33%
Decision Making 1 33.33%
Clustering 1 33.33%

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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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