This inventor holds 4 USPTO granted patents and 6 published patent applications. Top assignees: Radiusai, Inc., Everseen Limited. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Innovations by Kamalesh Kalirathinam
Introduction
Kamalesh Kalirathinam is an accomplished inventor based in Tempe, Arizona. He has made significant contributions to the field of technology, particularly in the area of automated checkout systems. With a total of two patents to his name, his work focuses on enhancing the efficiency and accuracy of point-of-sale systems.
Latest Patents
Kamalesh's latest patents include "Automatic item identification during assisted checkout based on visual features" and "Point of sale station for assisted checkout system." The first patent describes systems and methods for extracting item parameters from images at a point-of-sale (POS) system. This innovation allows for the identification of items based on feature vectors that match stored data in a database. The second patent outlines the use of computer vision and machine learning in assisted checkout devices, which can speed up the checkout process while ensuring human verification and customer interaction.
Career Highlights
Kamalesh Kalirathinam works at Radiusai, Inc., where he continues to develop innovative solutions for retail technology. His expertise in machine learning and computer vision has positioned him as a key player in the evolution of checkout systems.
Collaborations
Some of his notable coworkers include Abhinav Yarlagadda and Sai Krishna Bashetty, who contribute to the collaborative environment at Radiusai, Inc.
Conclusion
Kamalesh Kalirathinam's work exemplifies the intersection of technology and retail, showcasing how innovations can streamline processes and enhance customer experiences. His contributions are paving the way for future advancements in automated checkout systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
