This inventor holds 1 USPTO granted patent. Top assignee: Old Dominion University. 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: Alexander Merwyn Glandon: Innovator in LIDAR Technology
Introduction
Alexander Merwyn Glandon is a notable inventor based in Norfolk, VA (US). He has made significant contributions to the field of machine learning and human identification through his innovative patent. His work focuses on utilizing advanced technologies to enhance the accuracy and efficiency of human tracking systems.
Latest Patents
Glandon's most recent patent is titled "System for view invariant 3-D skeleton estimation and human identification using LIDAR full motion video." This machine learning system is designed for identifying, tracking, and predicting multiple subjects in a series of images or frames. The system includes a front-end sensing assembly and a server configured to process images with depth. The server is capable of identifying subjects from each frame using image and depth data, comparing recognized movements with a gallery of time-series frames stored in a historical database, and determining uncharacteristic motions by analyzing the movement of relative nodes.
Career Highlights
Glandon is affiliated with Old Dominion University, where he contributes to research and development in the field of technology. His work has implications for various applications, including security and surveillance, where accurate human identification is crucial.
Collaborations
Glandon collaborates with Khan Iftekharuddin, working together to advance their research and innovations in the field of machine learning and human identification.
Conclusion
Alexander Merwyn Glandon is a pioneering inventor whose work in LIDAR technology and machine learning is shaping the future of human identification systems. His contributions are significant in enhancing the capabilities of tracking and predicting human movements in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
