Marsfield, Australia

Fei Mai

USPTO Granted Patents = 7 

Average Co-Inventor Count = 1.6

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Parramatta, AU (2016 - 2017)
  • Marsfield, AU (2017 - 2019)

Company Filing History:


Years Active: 2016-2019

Loading Chart...
7 patents (USPTO):Explore Patents

Title: Fei Mai: Innovator in Object Recognition Technology

Introduction

Fei Mai is a prominent inventor based in Marsfield, Australia. He has made significant contributions to the field of object recognition technology, holding a total of 7 patents. His innovative work focuses on enhancing the capabilities of cameras in identifying and analyzing objects within images.

Latest Patents

Fei Mai's latest patents include a "System and method for object re-identification." This method involves identifying an object in an image by assessing the distinctiveness of various attributes, independent of the camera's viewpoint. It also includes determining the detectability of these attributes based on the object's orientation and adjusting camera settings to improve attribute visibility. Another notable patent is the "Method, system and apparatus for determining a lowest point of a target object in an image." This method outlines a process for identifying the lowest point of a target object by analyzing its relationship with reference objects in the scene.

Career Highlights

Fei Mai is currently employed at Canon Kabushiki Kaisha, a leading company in imaging and optical products. His work at Canon has allowed him to develop and refine his innovative ideas, contributing to advancements in camera technology and object recognition.

Collaborations

Fei Mai collaborates with Geoffrey Richard Taylor, leveraging their combined expertise to push the boundaries of technology in their field.

Conclusion

Fei Mai's contributions to object recognition technology exemplify the impact of innovation in enhancing camera capabilities. His patents reflect a commitment to advancing the understanding and functionality of imaging systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…