Taipei, Taiwan

Tom C I Lin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations of Tom C I Lin in Abnormal Behavior Detection

Introduction

Tom C I Lin is an accomplished inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, particularly in the area of abnormal behavior detection. His innovative approach utilizes machine learning algorithms to enhance safety and efficiency in various applications.

Latest Patents

Tom C I Lin holds a patent for an "Abnormal behavior detection system and method using automatic classification of multiple features." This invention describes a system and method for detecting abnormal behavior through the automatic classification of features extracted from various sources, including digital image analysis. The system employs machine learning algorithms to group these features and create models of normal and abnormal behaviors. Outlying behaviors, identified by their lower frequency, are classified as abnormal. The invention is particularly useful for automatically detecting abnormal traffic behaviors, such as running red lights or driving against traffic regulations.

Career Highlights

Tom C I Lin is currently associated with Gorilla Technology Inc., where he continues to develop innovative solutions in technology. His work focuses on enhancing the capabilities of systems that monitor and analyze behavior in real-time.

Collaborations

Tom has collaborated with notable colleagues, including Sze-Yao Ni and Yuang-Tzong Lan, to further advance the field of abnormal behavior detection. Their combined expertise contributes to the development of more effective and reliable systems.

Conclusion

Tom C I Lin's contributions to the field of abnormal behavior detection exemplify the impact of innovative thinking in technology. His patent and ongoing work at Gorilla Technology Inc. highlight the importance of using advanced algorithms to improve safety and efficiency in various applications.

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