This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: United Parcel Service of America, Inc.. Active years: 2025.
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
Title: Po-Nien Lin: Innovator in Machine Vision Systems
Introduction
Po-Nien Lin is an accomplished inventor based in Decatur, GA (US). He has made significant contributions to the field of machine vision systems, particularly in enhancing the visibility of trailer loading and unloading processes. His innovative approach combines advanced analytics with real-time video data to improve operational efficiency.
Latest Patents
Po-Nien Lin holds a patent for a "Machine vision system for advancement of trailer loading/unloading visibility." This invention provides embodiments for analytics indicative of object detection or fill-level detection at or near real-time based on video data captured during loading or unloading processes. The computerized system utilizes an object-detection machine learning (ML) model to detect and classify objects based on video data. Additionally, it employs a fill-level ML model to determine the fill-level of storage compartments by comparing edges of the compartment to total dimensions. This technique leverages image processing and machine learning to generate valuable analytics associated with loading and unloading operations.
Career Highlights
Po-Nien Lin is currently employed at United Parcel Service of America, Inc. His work focuses on integrating machine learning and image processing technologies to enhance operational capabilities. His innovative contributions have positioned him as a key player in the logistics and transportation industry.
Collaborations
Throughout his career, Po-Nien Lin has collaborated with talented individuals such as Youngjun Choi and Hyunki Lee. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Po-Nien Lin's work in machine vision systems exemplifies the intersection of technology and logistics. His innovative patent demonstrates the potential for machine learning to transform traditional processes, making them more efficient and effective. His contributions continue to influence the industry and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
