Saitama, Japan

Hiroyuki Iinuma



Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 66(Granted Patents)


Company Filing History:


Years Active: 2007

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1 patent (USPTO):Explore Patents

Title: Hiroyuki Iinuma: Innovator in Pipeline Inspection Technology

Introduction

Hiroyuki Iinuma is a notable inventor based in Saitama, Japan. He has made significant contributions to the field of pipeline inspection technology. His innovative approach has led to the development of a unique apparatus and method for detecting defects in sewer and similar pipelines.

Latest Patents

Iinuma holds 1 patent for his invention titled "Apparatus and method for detecting pipeline defects." This invention provides a solution for scanning and detecting defects in pipelines without the need to stop and pan-and-tilt areas of concern. The method involves a pipeline inspection probe equipped with a CCD camera and fish-eye lens that travels through the pipeline on a self-propelled tractor. This apparatus automatically collects data and transmits it to a computer, offering a real-time display of the pipeline's interior with quasi three-dimensional information. The data includes digitized forward views and unfolded 360-degree laid-flat side views of the pipeline interior. Additionally, the digitized data can be stored for further analysis and maintenance software use.

Career Highlights

Hiroyuki Iinuma is associated with Oyo Corporation, a company that specializes in advanced technology solutions. His work has significantly impacted the efficiency and effectiveness of pipeline inspections, making it easier to identify and manage defects.

Collaborations

Iinuma has collaborated with notable colleagues, including Hiromasa Shima and Kenzi Karasaki. Their combined expertise has contributed to the advancement of pipeline inspection technologies.

Conclusion

Hiroyuki Iinuma's innovative work in pipeline inspection technology exemplifies the importance of advancements in infrastructure maintenance. His contributions continue to influence the field and improve the methods used for pipeline defect detection.

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