Company Filing History:
Years Active: 2013-2015
Title: JaeYeal Nam: Innovator in Fire Detection Technologies
Introduction
JaeYeal Nam is a prominent inventor based in Daegu, South Korea. He has made significant contributions to the field of fire detection technologies, holding three patents that showcase his innovative approaches to identifying smoke and flames.
Latest Patents
One of his latest patents is a method of detecting smoke from forest fires using spatiotemporal Bag-of-Features (BoF) and random forest techniques. This method involves analyzing video sequences to detect differences between frames, identifying key frames, and extracting candidate smoke blocks based on a smoke color model. The actual presence of smoke is determined through random forest learning applied to the generated BoF representations.
Another notable patent is a method for detecting fire flames using fuzzy finite automata. This method includes acquiring images for fire detection, dividing them into blocks, and extracting candidate blocks based on brightness distortion. The fire-flame candidate regions are then evaluated using a color probability model and fuzzy finite automata, allowing for high precision in detecting fire flames across various images.
Career Highlights
JaeYeal Nam is affiliated with the Industry Academic Cooperation Foundation at Keimyung University. His work focuses on advancing technologies that enhance safety and efficiency in fire detection.
Collaborations
He has collaborated with notable colleagues, including ByoungChul Ko and Jun Oh Park, contributing to the development of innovative solutions in his field.
Conclusion
JaeYeal Nam's work in fire detection technologies exemplifies his commitment to innovation and safety. His patents reflect a deep understanding of complex systems and a dedication to improving fire detection methods.
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