This inventor holds 1 USPTO granted patent. Top assignee: Kyungpook National University Industry-Academic Cooperation Foundation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Jaeho Seong: Innovator in Driver Behavior Detection Technology
Introduction
Jaeho Seong is a prominent inventor based in Daegu, South Korea. He has made significant contributions to the field of driver behavior detection through his innovative patent. His work focuses on utilizing advanced technologies to enhance road safety and driver monitoring.
Latest Patents
Jaeho Seong holds a patent for a "Device for detecting driver behavior using deep learning-based object classification." This invention encompasses a driver behavior detection system that employs deep learning techniques for object classification. The system includes several components: a frame inputting unit for receiving image frames, a downsampling unit for reducing the resolutions of previous and current frames, an active image producing unit that utilizes brightness values by color to create an active image, an active region extracting unit that applies a sliding window algorithm to identify the most significant active region, and a behavior detecting unit that classifies and detects driver behavior through an object classification algorithm. This innovative approach aims to improve the accuracy and efficiency of driver behavior detection.
Career Highlights
Jaeho Seong is affiliated with the Kyungpook National University Industry-Academic Cooperation Foundation, where he contributes to research and development in the field of technology. His work is instrumental in bridging the gap between academic research and practical applications in the industry.
Collaborations
Jaeho Seong collaborates with notable colleagues, including Dong Seog Han and Youngjin Yoon. Their combined expertise fosters a productive environment for innovation and development in driver behavior detection technologies.
Conclusion
Jaeho Seong's contributions to the field of driver behavior detection through his innovative patent highlight his commitment to enhancing road safety. His work exemplifies the potential of deep learning technologies in real-world applications.