Company Filing History:
Years Active: 2013-2020
Title: Tse-Min Chen: Innovator in Object Detection Technologies
Introduction
Tse-Min Chen is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of object detection, holding a total of 3 patents. His work focuses on advanced methodologies that enhance the accuracy and efficiency of object detection systems.
Latest Patents
One of Tse-Min Chen's latest patents is an "Object detection method using CNN model and object detection apparatus using the same." This patent outlines a comprehensive approach to object detection that involves generating sensor data and processing it through a series of algorithms, including a first object detection algorithm and a sparse update mapping algorithm. The method culminates in a detection prediction based on the last-stage feature result.
Another notable patent is the "Method for detecting dead pixels and computer program product thereof." This invention provides a systematic approach to identifying dead pixels in images. It involves downsampling a to-be-tested image, computing moving averages for sample pixels, and determining whether they are dead pixel candidates. The method also estimates compensated values and weighted averages to accurately identify dead pixels.
Career Highlights
Tse-Min Chen is affiliated with the Industrial Technology Research Institute, where he applies his expertise in developing innovative technologies. His work has significantly impacted the field of image processing and object detection.
Collaborations
Tse-Min Chen has collaborated with notable colleagues, including Wen-Shan Wang and Chao-Yi Cho. Their combined efforts contribute to advancing research and development in their respective fields.
Conclusion
Tse-Min Chen's innovative work in object detection technologies showcases his commitment to enhancing image processing methodologies. His patents reflect a deep understanding of complex algorithms and their practical applications in technology.