Taipei, Taiwan

Fang-Tzu Chang

This inventor holds 4 USPTO granted patents. Top assignee: Vivotek Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fang-Tzu Chang. Retrieved from https://idiyas.com/inventor/fang-tzu-chang

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2019-2026

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4 patents (USPTO):Explore Patents

Title: Fang-Tzu Chang: Innovator in Camera Technology

Introduction

Fang-Tzu Chang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of camera technology, holding a total of 4 patents. His work has been instrumental in advancing the capabilities of modern imaging systems.

Latest Patents

Fang-Tzu Chang's latest patents focus on innovative camera designs that enhance functionality and user experience. These patents reflect his commitment to pushing the boundaries of technology in the imaging sector.

Career Highlights

Fang-Tzu Chang is currently employed at Vivotek Inc., a leading company in the field of video surveillance and imaging solutions. His role at Vivotek has allowed him to collaborate with other talented professionals and contribute to groundbreaking projects.

Collaborations

Throughout his career, Fang-Tzu has worked alongside notable colleagues such as Wei-Kai Tang and Chiung-Wei Tsai. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Fang-Tzu Chang is a dedicated inventor whose work in camera technology continues to influence the industry. His patents and collaborations highlight his significant role in advancing imaging solutions.

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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