Location History:
- Chiyoda-ku, JP (2013)
- Tokyo, JP (2014)
Company Filing History:
Years Active: 2013-2014
Title: Naoki Aizawa: Innovator in Intrusion Detection Technology
Introduction
Naoki Aizawa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of intrusion detection technology, holding a total of 2 patents. His work focuses on developing advanced systems that enhance security and safety.
Latest Patents
Aizawa's latest patents include an "Intruding Object Discrimination Apparatus" and an "Intrusion Detection System and Apparatus." The first patent describes a normalization processing circuit that normalizes a position of a complex demodulation signal from an A/D converter. This system outputs a normalized complex demodulation signal to a multiple-dimensional feature extractor. The extractor calculates feature quantities that change when a person intrudes, during wind and rain, and in the presence of an intense electric field. A discriminator then identifies the intrusion based on these three-dimensional feature quantities. The second patent allows a setting operator to adjust a threshold for intrusion detection easily. It utilizes reporting units that indicate variations in received electric waves when an intruding object is detected. A remote controller generates a signal to change the threshold based on these reports, ensuring proper adjustments for each block.
Career Highlights
Naoki Aizawa is currently employed at Mitsubishi Electric Corporation, where he continues to innovate in the field of intrusion detection. His work has been instrumental in developing technologies that enhance security measures in various applications.
Collaborations
Aizawa collaborates with notable colleagues, including Koichi Ikuta and Kenji Inomata. Their combined expertise contributes to the advancement of technology in their field.
Conclusion
Naoki Aizawa's contributions to intrusion detection technology demonstrate his commitment to innovation and safety. His patents reflect a deep understanding of complex systems and their applications in real-world scenarios.