Company Filing History:
Years Active: 2022-2025
Title: Kilho Son: Innovator in Item-Identifying Technology
Introduction
Kilho Son is a notable inventor based in Brookline, MA (US), recognized for his contributions to item-identifying technology. He holds 4 patents that showcase his innovative approach to enhancing materials handling processes.
Latest Patents
One of Kilho Son's latest patents is focused on conserving power in item-identifying carts. This invention is directed towards a mobile cart that can automatically identify items placed into its basket by users in a materials handling facility. The cart is equipped with cameras to detect user activity, such as placing items into the basket. A computing device connected to the cart utilizes a trained machine-learning model to identify these activities, improving its accuracy over time with real-world data.
Another significant patent involves using sensor data to determine activity. This disclosure outlines a processing pipeline that detects predefined activities using image data. It identifies an item of interest and its location across frames, determines its trajectory, and identifies actions taken with respect to the item. This technology is particularly useful in material handling facilities, where users interact with various receptacles.
Career Highlights
Kilho Son is currently employed at Amazon Technologies, Inc., where he applies his expertise in developing innovative solutions for item identification and materials handling. His work has significantly contributed to the efficiency and accuracy of operations within the company.
Collaborations
Kilho collaborates with talented individuals such as Ejaz Ahmed and Oded Maron, who share his passion for innovation and technology. Their combined efforts enhance the development of cutting-edge solutions in their field.
Conclusion
Kilho Son's inventive spirit and dedication to improving materials handling technology through his patents demonstrate his significant impact in the industry. His work continues to pave the way for advancements in item-identifying systems, making processes more efficient and effective.