This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, 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: Innovator Hua-Wei Chen: Pioneering Object Detection Technology
Introduction
Hua-Wei Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer vision, particularly in the area of object detection. His innovative work focuses on enhancing the accuracy and reliability of detection systems.
Latest Patents
Hua-Wei Chen holds a patent for a system designed to filter false positive notifications in computer-vision-based object detection events. The patent describes systems and techniques for suppressing false positive notifications for detected objects. In various examples, the system receives first bounding box data indicating a detection of a first class of object in a first frame of image data. It then determines second bounding box data indicating a prior detection of the same class of object in a second frame of image data. A first value representing the similarity between the first and second bounding box data is calculated. Based on this value, notifications associated with the detection of the first class of object may be suppressed.
Career Highlights
Hua-Wei Chen is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his innovative technologies. His work has garnered attention for its potential applications in various industries, including security and automation.
Collaborations
Hua-Wei Chen collaborates with talented individuals such as Jhih-Yuan Lin and Chih-Ting Liu, contributing to a dynamic and innovative work environment.
Conclusion
Hua-Wei Chen's contributions to object detection technology exemplify the impact of innovation in enhancing computer vision systems. His work not only addresses current challenges but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
