This inventor holds 7 USPTO granted patents and 7 published patent applications. Top assignees: Hon Hai Precision Industry Co., Ltd., Hon Hai Precision Industry Co., Ltd.. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2022-2026
Title: Innovations of Chien-Wu Yen
Introduction
Chien-Wu Yen is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of image processing and classification. With a total of 7 patents to his name, Yen's work focuses on enhancing the efficiency and accuracy of image detection and classification methods.
Latest Patents
Yen's latest patents include a "Method for detecting image sizes, computer device, and storage medium." This innovative method allows a computer device to utilize a pre-trained image processing model to detect image sizes efficiently. By establishing a stack based on the network layers of the model, the method improves detection efficiency by processing input images and iteratively deleting network layers.
Another notable patent is the "Method for classifying images and electronic device." This method identifies images of various objects using an electronic device. It involves obtaining images to be classified, performing image segmentation, and generating target vectors for classification. This process enables accurate categorization of images based on label categories and probability values.
Career Highlights
Chien-Wu Yen is currently associated with Hon Hai Precision Industry Co., Ltd., a leading technology company known for its innovative solutions. His work at the company has allowed him to develop and refine his patented methods, contributing to advancements in image processing technology.
Conclusion
Chien-Wu Yen's contributions to image processing through his innovative patents demonstrate his expertise and commitment to enhancing technology. His work continues to influence the field and improve the efficiency of image classification methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile