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For the Inventor, By the Inventor

Taipei, Taiwan

Wen-Yuan Li

This inventor holds 12 USPTO granted patents and 2 published patent applications. Top assignee: Vivotek Inc.. Active years: 2016-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wen-Yuan Li. Retrieved from https://idiyas.com/inventor/wen-yuan-li

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

USPTO Granted Patents = 12 

% Patents Active = 91.7

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:

goldMedal12 out of 200 
 
Vivotek Inc.
 patents

Years Active: 2016-2020

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12 patents (USPTO):Explore Patents
1. 10630881 - Lens detection method and lens detection system used for detecting type of externally connected lens (2020-04-21),
2. 10473300 - Light source assembly and camera device having the same (2019-11-12),
3. 10368004 - Light source control method and camera apparatus thereof (2019-07-30),
4. 10270979 - Automatically depth-of-field adjusting method and camera (2019-04-23),
5. 10084968 - Photographic apparatus and exposure luminance adjustment method (2018-09-25),
6. 9986160 - Network camera system and illumination device thereof (2018-05-29),
7. 9749545 - Light compensating system and method thereof (2017-08-29),
8. 9743490 - Lighting device and detection method thereof (2017-08-22),
9. 9628686 - Image surveillance device (2017-04-18),
10. 9534763 - Light-enhancing component and photographic device having the same (2017-01-03),
11. 9439261 - Light compensating system and method thereof (2016-09-06),
12. 9325910 - Photographing device and lamp device thereof (2016-04-26),

Title: Innovator Spotlight: Wen-Yuan Li of Vivotek Inc.

Introduction: Wen-Yuan Li, an accomplished inventor based in New Taipei, Taiwan, has made significant contributions to the field of optical technology. With a remarkable portfolio of 12 patents, Li's innovations focus on advanced lens detection methods and camera systems, showcasing his expertise in engineering and design.

Latest Patents: Among his latest innovations are two notable patents. The first, titled "Lens Detection Method and Lens Detection System Used for Detecting Type of Externally Connected Lens," describes a sophisticated system for identifying connected camera lenses. This system includes a specialized system chip that manages the detection process, ensuring seamless operation and control over the lenses connected to it. The second patent, "Light Source Assembly and Camera Device Having the Same," introduces a versatile light source assembly designed to enhance image capture capabilities. This invention features an adjustable space that accommodates image capture modules, demonstrating Li's commitment to improving the functionality and flexibility of camera technologies.

Career Highlights: Li is currently making his mark at Vivotek Inc., a leading company in the field of video surveillance and imaging. His work at Vivotek underscores his dedication to advancing the technology behind image capture and processing. Li's extensive background in optical innovations positions him as a key player in the development of cutting-edge imaging solutions.

Collaborations: Throughout his career, Li has collaborated with several talented individuals, including colleagues Li-Shan Shih and Yi-chuan Chen. Working alongside such skilled professionals highlights the collaborative spirit within the organization, contributing to the successful development of innovative technologies.

Conclusion: With a robust portfolio of patents and a commitment to innovation, Wen-Yuan Li exemplifies the spirit of creativity and advancement in the field of optical engineering. His ongoing contributions at Vivotek Inc. pave the way for future breakthroughs in imaging technology, solidifying his role as a respected inventor in the industry.

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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