Walmart Apollo, LLC

Pranay Dugar

Rajesh Shreedhar Bhat

Anirban Chatterjee

Saswata Sahoo

Souradip Chakraborty

Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.

System and method for textual analysis of images

An automated planogram anomaly detection solution rapidly and reliably identifies mismatches between planograms and actual item placement. Examples receive a real time (RT) image of a shelf unit corresponding to at least a first portion of a planogram; detect, within the RT image, item boundaries for a plurality of items on the shelf unit and tag boundaries for a plurality of tags associated with the shelf unit; extract text from at least one tag; extract attributes from at least one item; map the extracted item attributes with the extracted tag text; detect, based at least on the map, a planogram anomaly; and based at least on detecting the planogram anomaly, generate a report identifying the planogram anomaly (e.g., a mismatch between a tag and an item). Some examples compare the RT image with a ground truth (GT) image to detect anomalies, for example empty space on the shelf unit.

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Udaipur, India

Pranay Dugar