Shenzhen, China

Haihang Zhang

This inventor holds 1 USPTO granted patent. Top assignee: Yinwang Intelligent Technologies Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haihang Zhang. Retrieved from https://idiyas.com/inventor/haihang-zhang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Haihang Zhang in Image Processing Technologies

Introduction

Haihang Zhang is a notable inventor based in Shenzhen, China. He has made significant contributions to the field of computer vision technologies, particularly in image processing methods. His innovative approach addresses challenges faced during extreme weather conditions, such as fog, haze, and smoke.

Latest Patents

Haihang Zhang holds a patent for an "Image processing method and apparatus for repair processing on a color image." This application provides a method to perform repair processing on color images captured under adverse weather conditions. The process involves obtaining a first depth map and a color image, determining atmospheric light values, and performing depth completion to enhance image quality. The method ensures higher precision in transmittance determination, leading to improved image processing effects.

Career Highlights

Zhang is currently associated with Yinwang Intelligent Technologies Co., Ltd., where he continues to develop innovative solutions in image processing. His work has garnered attention for its practical applications in enhancing visual clarity in challenging environments.

Collaborations

Haihang Zhang collaborates with talented individuals such as Qi Cao and XiaoLi Zhang, contributing to a dynamic team focused on advancing technology in their field.

Conclusion

Haihang Zhang's contributions to image processing technology demonstrate his commitment to innovation and excellence. His work not only addresses current challenges but also paves the way for future advancements in computer vision.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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