NCR Corporation
IMAGE PROCESSING FOR ITEM RECOGNITION

Abstract:

Cameras capture time-stamped images of predefined areas. Occluded images that represent obstructed views of items are processed using a combination of machine-learning and a probabilistic approach based on a planogram for the items and the items' location within a store. Output from the machine-learning and probabilistic approach are item identifiers that identify the items as known items to the store.