Great Neck, NY, United States of America

Qi Wang

This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qi Wang. Retrieved from https://idiyas.com/inventor/qi-wang-e5phei2u

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Qi Wang and Automated Checkout Label Decoding.

Introduction

Qi Wang is an inventor based in Great Neck, New York. His patent work addresses a practical challenge in automated checkout: reliably decoding machine-readable labels from images captured in real-world conditions.

Latest Patents

Wang is associated with 1 patent, titled “Subregion Transformation for Label Decoding by an Automated Checkout System.” The invention describes techniques for modifying images of machine-readable labels to help a label-detection model decode item identifiers. The system can transform image subregions to compensate for distortions or identify readable regions and apply the model to those areas. These methods aim to improve label decoding using real-world images while relying on relatively clean training data.

Career Highlights

Wang’s patent is associated with Maplebear Inc. It focuses on applying computer vision to automated checkout, where accurate label recognition can support the identification of items.

Collaborations

Wang’s listed coworker is Shiyuan Yang. Their shared professional context is connected to Maplebear Inc. and its work in automated checkout technology.

Conclusion

Qi Wang’s patent highlights an approach to improving automated checkout by adapting label images for more effective machine-readable code detection.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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