Kaohsiung, Taiwan

Jun-Qiang Wei


Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Jun-Qiang Wei

Introduction

Jun-Qiang Wei is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of technology, particularly in image processing and electronic component verification. With a total of 2 patents, his work showcases innovative methods that enhance the efficiency and accuracy of various systems.

Latest Patents

Jun-Qiang Wei's latest patents include an "Image object classification method, system and computer readable medium." This invention discloses a method executed by a processor coupled to a memory, which involves providing an image file with at least one image object. The method extracts multiple binary-classified characteristics from the image object, combines these results through dimensionality reduction, and performs characteristics integration to achieve a classification result.

Another significant patent is the "Electronic component footprint verification system and a method thereof." This system allows external users to select an electronic component footprint for verification. It reads a verification rule checklist from an external database, extracts characteristics of the footprint, verifies the data based on the checklist, and displays the verification result.

Career Highlights

Jun-Qiang Wei is currently employed at Footprintku Inc., where he continues to develop innovative solutions in his field. His work at the company emphasizes the importance of accuracy in electronic component design and verification.

Collaborations

He collaborates with talented coworkers, including Yan-Jhih Wang and Yi-Ting Chen, who contribute to the innovative projects at Footprintku Inc.

Conclusion

Jun-Qiang Wei's contributions to technology through his patents reflect his dedication to innovation and improvement in electronic systems. His work not only advances the field but also sets a standard for future developments in image processing and component verification.

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