Haifa, Israel

Omer Yair


Average Co-Inventor Count = 4.3

ph-index = 3

Forward Citations = 104(Granted Patents)


Company Filing History:


Years Active: 2017-2019

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

Title: Omer Yair: Innovator in Depth Detection Technology

Introduction

Omer Yair is a prominent inventor based in Haifa, Israel. He has made significant contributions to the field of depth detection technology, holding a total of 3 patents. His work primarily focuses on utilizing machine learning to enhance the capabilities of time-of-flight sensors.

Latest Patents

Omer's latest patents include innovative technologies that improve depth detection. One of his notable inventions is a depth detection apparatus that employs machine learning to analyze raw time-of-flight sensor data. This apparatus is designed to compute depth values of surfaces depicted in the data, utilizing a trained machine learning component that processes simulated training data pairs. Another significant patent involves a depth detection apparatus that captures frames of raw time-of-flight sensor data in dynamic environments. This technology allows for the computation of multiple depth maps from a single stream of frames, enhancing the accuracy of depth detection in motion.

Career Highlights

Omer Yair is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies in depth detection. His work has positioned him as a key player in the field, contributing to advancements that leverage machine learning for improved sensor data analysis.

Collaborations

Omer collaborates with notable colleagues such as Sebastian Nowozin and Amit Adam, who share his passion for innovation in technology. Their combined expertise fosters a creative environment that drives the development of groundbreaking solutions.

Conclusion

Omer Yair's contributions to depth detection technology through his innovative patents and collaborations highlight his role as a leading inventor in the field. His work continues to influence advancements in sensor technology and machine learning applications.

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