Rehovot, Israel

Roi Levy


 

Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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3 patents (USPTO):Explore Patents

Title: Roi Levy - Innovator in Unified Imaging Technology

Introduction

Roi Levy is a prominent inventor based in Rehovot, Israel. He has made significant contributions to the field of imaging technology, particularly in the development of unified imaging devices. With a total of 3 patents to his name, Levy's work focuses on enhancing the detection and classification of objects through advanced imaging techniques.

Latest Patents

One of Roi Levy's latest patents is titled "Visual, depth and micro-vibration data extraction using a unified imaging device." This innovative device is designed to detect and classify objects in a scene, including motion and micro-vibrations. It operates by capturing multiple images of the scene through an imaging sensor equipped with a light source that projects a structured light pattern. The device classifies objects by visually analyzing the images, extracts depth data by examining the position of reflected light elements, and identifies micro-vibrations by analyzing changes in the speckle pattern of the reflected light. The output includes classification, depth data, and micro-vibration information, all registered in a common coordinate system.

Career Highlights

Throughout his career, Roi Levy has worked with notable companies such as Gentex Corporation and Guardian Optical Technologies, Ltd. His experience in these organizations has contributed to his expertise in imaging technology and innovation.

Collaborations

Roi Levy has collaborated with talented individuals in his field, including Yoav Zuta and Gideon Carmon. These partnerships have likely fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Roi Levy's contributions to unified imaging technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex imaging systems and their applications in real-world scenarios.

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