Matsumoto, Japan

Haruyoshi Ohori

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: Haruyoshi Ohori: Innovator in Two-Dimensional Bar Code Technology

Introduction

Haruyoshi Ohori is a notable inventor based in Matsumoto, Japan. He has made significant contributions to the field of bar code technology, particularly through his innovative methods and apparatus for reading two-dimensional bar code symbols. His work has implications for data storage and retrieval, enhancing the efficiency of bar code scanning.

Latest Patents

Ohori holds a patent for a "Method of and apparatus for reading a two-dimensional bar code symbol and data storage medium." This invention involves a sophisticated process for decoding scanned images of two-dimensional bar codes, such as MaxiCode symbols. The method includes searching for finder patterns, determining orientation modules, and converting symbols into data characters. The decoding process is designed to accurately interpret the data contained within the bar code, ensuring reliable data retrieval.

Career Highlights

Haruyoshi Ohori is associated with Seiko Epson Corporation, a leading company in the technology sector. His work at Epson has allowed him to focus on advancements in bar code technology, contributing to the company's reputation for innovation. His patent reflects his expertise and commitment to improving data processing methods.

Collaborations

Ohori has collaborated with notable colleagues, including Hitomi Wakamiya and Shinichi Arazaki. These partnerships have likely fostered a creative environment that encourages the development of cutting-edge technologies in the field of bar code reading.

Conclusion

Haruyoshi Ohori's contributions to two-dimensional bar code technology exemplify the impact of innovative thinking in the tech industry. His patent demonstrates a commitment to enhancing data processing capabilities, which is essential in today's data-driven world.

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