Taipei, Taiwan

Chun-Yen Chen


Average Co-Inventor Count = 1.7

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017-2022

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7 patents (USPTO):Explore Patents

Title: Innovations of Chun-Yen Chen

Introduction

Chun-Yen Chen is a notable inventor based in New Taipei, Taiwan. He has made significant contributions to the field of facial recognition technology, holding a total of seven patents. His work focuses on enhancing the accuracy and efficiency of human face identification systems.

Latest Patents

Chun-Yen Chen's latest patents include a "Human face identification apparatus" and a "distributed human face identification system and method thereof." These innovations provide a comprehensive method for identifying individuals through facial recognition. The method involves obtaining a human face block from an image and utilizing a client database to identify corresponding data. If the client apparatus cannot identify the data, it transmits the human face block to a server apparatus for further identification. Additionally, he has developed a "Method and system for collecting facial recognition data," which outlines a process for extracting and storing facial features to improve the performance of neural networks in recognizing registered individuals.

Career Highlights

Throughout his career, Chun-Yen Chen has worked with prominent companies such as Qnap Systems, Inc. and Climax Machine Industry Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Chun-Yen Chen has collaborated with talented individuals in his field, including Tien-Lu Hsu and Chia-Chih Chang. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Chun-Yen Chen's contributions to facial recognition technology through his patents and collaborations highlight his role as a leading inventor in this field. His work continues to influence advancements in human face identification systems.

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