For the Inventor, By the Inventor

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Santa Clara, CA, United States of America

Omnivision Technologies, Inc.

Calculating rank

USPTO Granted Patents = 1,417

% Expired Patents = 0.14

EPO Patents = 151

Trademarks = 12

Forward Citations = 7,473

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665 inventors (with patents filed for the assignee):

Duli Mao (158 out of 159 patents)

Gang Chen (131 out of 140 patents)

Howard E Rhodes (104 out of 405 patents)

4. Yin Qian (88 out of 88 patents)

5. Dyson Hsinchih Tai (88 out of 88 patents)

6. Vincent Venezia (85 out of 87 patents)

7. Hsin-Chih Tai (85 out of 85 patents)

8. Tiejun Dai (84 out of 84 patents)

9. Rui Wang (67 out of 79 patents)

10. Sohei Manabe (63 out of 63 patents)

11. Jau-Jan Deng (60 out of 68 patents)

12. Hiroaki Ebihara (57 out of 57 patents)

13. Keiji Mabuchi (51 out of 51 patents)

14. Jizhang Shan (50 out of 69 patents)

15. Wei-Feng Lin (48 out of 67 patents)

Core Competencies:

High Dynamic Range

Pixel Design

Event-Based Vision

Image Processing

Low Power

Motion Detection

Optical Sensors

Fingerprint Sensors

Photovoltaic Mode

Global Shutter

Noise Reduction

LED Flicker Mitigation

1,417 patents: Sort by Forward Citations

1. 12772582 - Image sensor with shared gate architecture for metal layer reduction (2026-10-20),

2. 12771964 - Hybrid imaging sensor with high sampling point distribution (2026-10-20),

3. 12771958 - Methods for operating hybrid image sensors having different CIS-to-EVS resolutions (2026-10-20),

4. 12764437 - Image sensor with shared low conversion gain capacitor (2026-10-13),

5. 12764431 - Hybrid image sensors with on-chip image deblur (2026-10-13),

6. 12757510 - Image sensor with optical structure for flare reduction (2026-10-06),

7. 12756955 - Image sensor and operation method of pixel circuit thereof (2026-10-06),

8. 12756954 - Hybrid imaging sensor with shared readout (2026-10-06),

9. 12750604 - Hybrid imaging sensor with shared readout (2026-09-29),

10. 12747338 - Image sensor with in-pixel background subtraction and motion detection (2026-09-29),

11. 12745014 - Layout for imaging system and pixel cell array with quad row select transistors (2026-09-22),

12. 12739529 - Hybrid image sensors with on-chip image deblur and rolling shutter distortion correction (2026-09-15),

13. 12739527 - Driver monitoring system and associated image-capture method (2026-09-15),

14. 12733279 - Hybrid image pixels for phase detection auto focus (2026-09-08),

15. 12732714 - Performance-driven automatic event sensor control (2026-09-08),

Company Overview

Omnivision Technologies, Inc. is a leading developer of advanced image sensor technologies, headquartered in Santa Clara, California. The company specializes in high-performance imaging solutions that encompass a range of applications, including consumer electronics, automotive, and security systems. Their core technological focus includes high dynamic range imaging, innovative pixel design, and low power consumption, enabling enhanced image processing and motion detection capabilities. Omnivision is also recognized for its contributions to optical and fingerprint sensors, driving advancements in visual technology.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

1,417 Patents

#7 in Santa Clara, CA

#84 in California

#357 in US

#703 in the World

Santa Clara, CA, United States of America

Omnivision Technologies, Inc.

Forward Citations = 7,473

665 inventors:

Duli Mao (158 out of 159 patents)

Gang Chen (131 out of 140 patents)

Howard E Rhodes (104 out of 405 patents)

4. Yin Qian (88 out of 88 patents)

5. Dyson Hsinchih Tai (88 out of 88 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Omnivision Technologies, Inc.. Retrieved from https://idiyas.com/company/omnivision-technologies

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

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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