This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Walmart Apollo, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ketan Shah: Innovator in Pallet Tag Classification Technology
Introduction
Ketan Shah is a notable inventor based in Dallas, TX (US). He has made significant contributions to the field of text recognition technology, particularly in the context of pallet classification. His innovative approach aims to enhance the accuracy and efficiency of identifying pallets in retail environments.
Latest Patents
Ketan Shah holds a patent for a system titled "Pallet tag classification for improved text recognition accuracy." This invention focuses on classifying pallet tags based on detected lines of text. The system includes a pallet text manager that utilizes a classification model to identify the type of pallet tag. Qualified lines of text are selected based on the classification type and format, with each line associated with specific pallet attributes. These attributes include a pallet identifier (ID), item ID, and the date of creation of the pallet tag. The system pairs these attribute values with location data, which is then saved in a pallet attribute table. This innovative approach significantly improves the identification of pallet locations within retail facilities.
Career Highlights
Ketan Shah is currently employed at Walmart Apollo, LLC, where he continues to develop and refine his innovative technologies. His work has been instrumental in advancing the capabilities of text recognition systems in the retail sector.
Collaborations
Ketan collaborates with Zhaoliang Duan, a fellow innovator, to further enhance their projects and drive advancements in their field.
Conclusion
Ketan Shah's contributions to pallet tag classification technology exemplify the impact of innovation in improving operational efficiency in retail environments. His work continues to pave the way for advancements in text recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
