This inventor holds 2 USPTO granted patents and 3 published patent applications and 2 EPO patents. Top assignee: Industrial Technology Research Institute. Active years: 2011-2012.
Location History:
- Taichung County, TW (2011)
- Dadu Township, Taichung County, TW (2012)
Company Filing History:
Years Active: 2011-2012
Title: Hao-Ting Chao: Innovator in Flame Detection Technology
Introduction
Hao-Ting Chao is a notable inventor based in Dadu, Taiwan. He has made significant contributions to the field of flame detection technology, holding 2 patents that enhance safety measures in various environments. His innovative approaches utilize advanced image processing techniques to improve the accuracy of flame detection.
Latest Patents
Hao-Ting Chao's latest patents include a "Method and system for detecting flame" and a "Flame detecting method and device." The first patent outlines a method that identifies flames by analyzing bright objects in video images. It involves determining the flickering state of these objects and verifying the presence of flames through subsequent image analysis. The second patent focuses on improving flame detection accuracy while minimizing false alarms. This method captures multiple images of a monitored area, analyzes color models and flickering frequencies, and compares results with reference flame images to confirm the presence of flames.
Career Highlights
Hao-Ting Chao is affiliated with the Industrial Technology Research Institute, where he applies his expertise in developing innovative flame detection solutions. His work has been instrumental in advancing safety technologies that are crucial in various industries.
Collaborations
Hao-Ting Chao has collaborated with notable colleagues such as Shen-Kuen Chang and Cheng-Wei Wang. Their combined efforts contribute to the ongoing development of cutting-edge technologies in flame detection.
Conclusion
Hao-Ting Chao's contributions to flame detection technology exemplify his commitment to innovation and safety. His patents reflect a deep understanding of image processing and its applications in real-world scenarios.