Hino, Japan

Shun Sugai

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Konica Minolta, Inc.. Active years: 2019-2024.

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 2.1

ph-index = 1


Location History:

  • Toyokawa, JP (2019)
  • Hino, JP (2020 - 2024)

Company Filing History:


Years Active: 2019-2024

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3 patents (USPTO):Explore Patents

Title: Shun Sugai: Innovator in Machine Learning and Imaging Technology

Introduction

Shun Sugai is a prominent inventor based in Hino, Japan. He has made significant contributions to the fields of machine learning and imaging technology. With a total of 3 patents to his name, Sugai continues to push the boundaries of innovation in his industry.

Latest Patents

Sugai's latest patents include a machine learning device, a machine learning method, and a machine learning program. The machine learning device is designed to learn the actions of a driving source in a transport device that continuously transports at least two objects along a designated path. It features a hardware processor that acquires position information of the transported objects through a sensor, calculates rewards based on this information, and learns actions through reinforcement learning. Additionally, he has developed an image forming apparatus that conveys sheets and prints images on them. This apparatus includes a sheet feed tray, a motor that rotates a polygon mirror, and a hardware processor that identifies the type of sheet based on sensor output.

Career Highlights

Shun Sugai is currently employed at Konica Minolta, Inc., where he applies his expertise in machine learning and imaging technology. His work has been instrumental in advancing the capabilities of imaging devices and transport systems.

Collaborations

Sugai collaborates with notable colleagues such as Kazuhiko Kowase and Mikiyuki Aoki, contributing to innovative projects and research within the company.

Conclusion

Shun Sugai is a key figure in the realm of machine learning and imaging technology, with a focus on developing advanced devices and methods. His contributions continue to shape the future of these fields.

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