San Francisco, CA, United States of America

Ian R Fasel

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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5 patents (USPTO):

Title: Innovations of Ian R Fasel in Facial Recognition Technology

Introduction

Ian R Fasel is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of facial recognition technology, holding a total of five patents. His work focuses on enhancing the accuracy and efficiency of facial recognition processes through innovative techniques.

Latest Patents

One of Ian R Fasel's latest patents involves occlusion detection for facial recognition processes. This invention addresses the challenge of occlusion of facial features in images captured by devices. By utilizing landmark heat maps, the technology estimates the locations of key facial landmarks such as the eyes, mouth, and nose. An occlusion heat map is generated, which includes values representing the degree of occlusion in various regions of the face. The estimated locations of the facial features, combined with the occlusion heat map, allow for the assessment of occlusion scores for these landmarks. These scores can then be used to control various operations of the device, improving the overall functionality of facial recognition systems.

Career Highlights

Ian R Fasel is currently employed at Apple Inc., where he continues to develop cutting-edge technologies. His work has been instrumental in advancing the capabilities of facial recognition systems, making them more reliable and effective in real-world applications.

Collaborations

Ian has collaborated with notable colleagues such as Thorsten Gernoth and Haitao Guo. Their combined expertise has contributed to the successful development of innovative solutions in the field of facial recognition technology.

Conclusion

Ian R Fasel's contributions to facial recognition technology through his patents and work at Apple Inc. highlight his role as a leading inventor in this field. His innovative approaches to occlusion detection are paving the way for more advanced and reliable facial recognition systems.

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