San Jose, CA, United States of America

Anson Chan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Anson Chan: Innovator in 3D Imaging Technology

Introduction

Anson Chan is a notable inventor based in San Jose, California. He has made significant contributions to the field of imaging technology, particularly through his innovative work on 3D imaging systems. His expertise and creativity have led to advancements that enhance the way we capture and interpret three-dimensional objects.

Latest Patents

Anson Chan holds a patent for a groundbreaking invention titled "3D imaging using phase detection autofocus (PDAF) image sensor." This patent describes a 3D imaging system that utilizes a PDAF image sensor, a lens for imaging a cross-section of a 3D object, and an actuator for focusing each cross-section. The actuator drives the lens until the PDAF image sensor identifies an in-focus image of the first cross-section, which is then recorded. Subsequent images of additional cross-sections are also captured and stacked to create a comprehensive 3D image of the object. This innovative approach significantly improves the accuracy and efficiency of 3D imaging.

Career Highlights

Anson Chan is currently employed at OmniVision Technologies, Inc., where he continues to develop and refine imaging technologies. His work at OmniVision has positioned him as a key player in the advancement of imaging solutions, particularly in the realm of 3D imaging.

Collaborations

Anson has collaborated with talented coworkers such as Lequn Liu and Suganda Jutamulia. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Anson Chan's contributions to 3D imaging technology exemplify the impact of innovative thinking in the field of imaging. His patent and work at OmniVision Technologies, Inc. highlight his commitment to advancing technology and improving the way we capture and understand three-dimensional objects.

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