Hemei, Taiwan

Hsin-Cheng Lin

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Changhua County, TW (2019)
  • Changhua, TW (2020)
  • Hemei Township, TW (2021 - 2024)

Company Filing History:


Years Active: 2019-2024

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5 patents (USPTO):

Title: Hsin-Cheng Lin: Innovator in Image Recognition Technology

Introduction

Hsin-Cheng Lin is a prominent inventor based in Hemei, Taiwan. He has made significant contributions to the field of image recognition technology, holding a total of five patents. His work focuses on developing advanced methods and systems for object recognition, which have applications in various industries.

Latest Patents

Hsin-Cheng Lin's latest patents include an image recognition method, a training system for an object recognition model, and a training method for an object recognition model. The image recognition method involves obtaining at least one original sample image of an object, along with its range and type information. It also includes adjusting physical parameters to generate multiple simulated sample images, which are automatically marked for machine learning procedures. Additionally, he has developed a recognition system that incorporates image augmentation and training methods, enhancing the training of recognition models through the manipulation of image frames and environmental patterns.

Career Highlights

Hsin-Cheng Lin is affiliated with the Industrial Technology Research Institute, where he continues to innovate and advance the field of image recognition. His work has been instrumental in improving the accuracy and efficiency of object recognition systems.

Collaborations

Some of his notable coworkers include Sen-Yih Chou and Chia-Liang Yeh, who have collaborated with him on various projects related to image recognition technology.

Conclusion

Hsin-Cheng Lin's contributions to image recognition technology demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of machine learning and image processing, positioning him as a key figure in this evolving field.

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