This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Fuji Corporation, Nagoya Institute of Technology. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2020
Title: Innovations by Koosuke Hattori
Introduction
Koosuke Hattori is a notable inventor based in Nagoya, Japan. He has made significant contributions to the field of image processing and component identification. His innovative work has led to the development of a unique method and system for distinguishing component types automatically.
Latest Patents
Hattori holds a patent for a "Component type automatic distinguishing method" and a "Component type automatic distinguishing system." This invention involves extracting characteristic data from component images captured by a camera. The extracted data is then compared with reference data from a database to identify the component type that matches most closely. Additionally, a power spectrum image is created using FFT for each scanning line in a lead presence candidate region. An HLAC characteristic is calculated from this image to extract periodic characteristics, allowing for the distinction of connector components with leads from odd form components.
Career Highlights
Throughout his career, Hattori has worked with reputable organizations such as Fuji Corporation and the Nagoya Institute of Technology. His experience in these institutions has contributed to his expertise in image processing and component analysis.
Collaborations
Hattori has collaborated with notable colleagues, including Shuichiro Kito and Taizo Umezaki. Their joint efforts have further advanced the field of component identification and image processing.
Conclusion
Koosuke Hattori's innovative contributions to automatic component distinguishing methods and systems highlight his expertise in image processing. His work continues to influence advancements in technology and component analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile