Company Filing History:
Years Active: 2024-2025
Title: Youtarou Noda: Innovator in Image Processing Technology
Introduction
Youtarou Noda is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of image processing, holding a total of 2 patents. His work focuses on developing advanced technologies that enhance the way images are processed and analyzed.
Latest Patents
Youtarou Noda's latest patents include an image processing apparatus, an image processing method, and a non-transitory computer-readable medium. The first patent describes an image processing apparatus that consists of an image processing unit and a risk information generation unit. This apparatus acquires and processes images generated by an image capture device, which includes multiple individuals. The image processing unit identifies a reference person among the group and calculates the distance to the nearest individual. Using this distance, the risk information generation unit generates infection risk information for the area captured in the image. The second patent also involves an image processing apparatus that computes a proximity index related to the closeness of multiple individuals captured in an image. This index triggers a predetermined apparatus to execute specific controls when certain criteria are met.
Career Highlights
Youtarou Noda is currently employed at NEC Corporation, where he continues to innovate in the field of image processing. His work has been instrumental in developing technologies that address real-world challenges, particularly in the context of public health and safety.
Collaborations
Youtarou has collaborated with notable colleagues, including Gaku Nakano and Shoji Nishimura. Their combined expertise has contributed to the advancement of image processing technologies.
Conclusion
Youtarou Noda is a key figure in the realm of image processing, with a focus on enhancing safety through innovative technology. His patents reflect a commitment to improving how we understand and interact with images in various contexts.