Kanagawa, Japan

Keisuke Hayata


Average Co-Inventor Count = 2.1

ph-index = 3

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2011-2016

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5 patents (USPTO):Explore Patents

Title: Keisuke Hayata: Innovator in Image Processing Technologies

Introduction

Keisuke Hayata is a prominent inventor based in Kanagawa, Japan. He has made significant contributions to the field of image processing, holding a total of 5 patents. His work focuses on developing advanced technologies that enhance image extraction and information processing.

Latest Patents

Hayata's latest patents include an image region extraction device, an image region extraction method, and an image region extraction program. The image region extraction device is designed to extract a target region based on a designated region with high precision. It features a spatial change learning unit that acquires pixel value changing patterns and distance changing patterns, which are essential for accurately identifying target regions within images. Additionally, the information processing apparatus he developed includes a virtual object management section that manages virtual object information in augmented reality spaces, facilitating communication between different groups.

Career Highlights

Throughout his career, Hayata has worked with notable companies such as Panasonic Intellectual Property Corporation of America and Panasonic Corporation. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in the realm of image processing.

Collaborations

Hayata has collaborated with talented individuals in his field, including Sotaro Tsukizawa and Megumi Yamaoka. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Keisuke Hayata's contributions to image processing and information technology demonstrate his innovative spirit and dedication to advancing the field. His patents reflect a commitment to enhancing the precision and functionality of image extraction methods.

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