Yunqi Wang

Introduction

Yunqi Wang, based in Beijing, China, is an accomplished inventor known for his significant contributions to defect classification and dirt detection technologies. With a total of six patents to his name, Wang is paving the way for advancements in image processing and electronic device efficiency.

Latest Patents

Among his most recent innovations, Wang holds patents for a "Method for Defect Classification" and a "Method for Training Defect Classifier," along with the corresponding apparatus. This innovative method includes processes such as extracting low-level features from a defect region in an image and classifying defects based on a middle-level semantic feature created from a defect dictionary. This approach enhances the accuracy of defect categorization significantly.

Another notable patent addresses "Dirt Detection on Screen," which provides a comprehensive method to detect dirt on screens quickly and efficiently. This method employs a two-image technique to pinpoint the position of dirt, thereby greatly reducing the time required for detection and improving overall efficiency.

Career Highlights

Yunqi Wang has contributed his expertise to prominent companies in the field. His tenure at Beijing Boe Optoelectronics Technology Co., Ltd. and Boe Technology Group Co., Ltd. has allowed him to collaborate with some of the top professionals in the industry.

Collaborations

Wang has worked alongside talented colleagues such as Minglei Chu and Lili Chen, further enhancing his innovative projects. These collaborations have played a crucial role in the development of his patented technologies and have fostered a creative environment for advancement.

Conclusion

Yunqi Wang’s work in defect classification and dirt detection showcases his commitment to fostering innovation in technology. With his numerous patents and professional collaborations, he continues to be a driving force behind improvements in electronic device functionality and efficiency. His contributions are essential in revolutionizing how defects and cleanliness are managed in today's digital landscape.