Yotam Azriel

Title: Yotam Azriel: Innovator in Railway Obstacle Detection

Introduction

Yotam Azriel is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of railway safety through his innovative patent. His work focuses on enhancing the detection of obstacles on railway tracks, which is crucial for ensuring the safety of train operations.

Latest Patents

Yotam Azriel holds a patent for a "Method and system for railway obstacle detection based on rail segmentation." This patent describes systems and methods for detecting rails and obstacles using forward-looking electro-optical imaging. The innovative system architecture incorporates advanced scene analysis and image processing techniques. The processing solution employs a deep learning semantic scene segmentation approach, utilizing a neural network that detects the states of rails and switches. This technology determines the railway path of the train in real-time imagery and includes an objects and obstacles detection and tracking neural network that analyzes the vicinity of the determined railway path to identify impending obstacles.

Career Highlights

Yotam Azriel is currently associated with Rail Vision Ltd., a company dedicated to developing cutting-edge solutions for railway safety. His expertise in deep learning and image processing has positioned him as a key player in the advancement of railway technology.

Collaborations

Yotam collaborates with talented professionals in his field, including Sagi Dolberg and Natalie Day. Their combined efforts contribute to the innovative projects at Rail Vision Ltd.

Conclusion

Yotam Azriel's work in railway obstacle detection exemplifies the importance of innovation in enhancing safety in transportation. His contributions through patented technology are paving the way for safer railway systems.