Tokyo, Japan

Masanori Koike

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ntt Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Masanori Koike. Retrieved from https://idiyas.com/inventor/masanori-koike-mg2erg35

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Masanori Koike: Inventor in Object Detection Technology.

Introduction

Masanori Koike is an inventor based in Tokyo, Japan, associated with NTT Corporation. His patent work addresses how systems can estimate whether a person is likely to notice an object in an image.

Latest Patents

Koike is named on one patent: “Object Detection Probability Calculating Apparatus, Object Detection Probability Calculating Method, and Program.” The invention describes a processor-based apparatus that calculates the probability that a person can detect a predetermined object in an image. It uses image-quality parameters from a camera on a vehicle capable of automatic movement, together with distance information between the vehicle or camera and the object. Koike’s listed portfolio includes 1 patent.

Career Highlights

Koike’s documented patent contribution focuses on combining camera image quality and object distance to assess human detectability. This approach may support the design and evaluation of automated systems that need to account for whether people can perceive objects captured by onboard cameras.

Collaborations

The supplied information identifies Kazuhisa Yamagishi and Noritsugu Egi as Koike’s coworkers. The patent record provided does not specify their roles in the invention.

Conclusion

Masanori Koike’s patent work at NTT Corporation centers on calculating the likelihood that people will detect objects in images, connecting camera characteristics and distance data to automated movement systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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