Rail Vision Ltd, a leading technology company revolutionising railway safety and data-related markets, announced the receipt of a notice of allowance from the United States Patent and Trademark Office for its innovative AI-based railway obstacle detection system.

The patent outlines an advanced method aimed at enhancing rail safety by combining electro-optical imaging technologies with artificial intelligence. This system is engineered to significantly mitigate collisions on railways by employing an artificial intelligence model that conducts comprehensive scene analysis and image processing.

Key Features of the Patent:

1. Advanced Electro-Optical Imaging: Incorporates single spectrum or multispectral imaging to capture comprehensive visuals of the train’s pathway and its surroundings.
2. AI-Driven Image Processing: Utilises deep learning via convolutional neural networks to precisely determine the railway path and detect potential obstacles along and near the path.
3. Enhanced Safety Measures: Aims to dramatically reduce collision risks, thereby elevating the safety of rail operations.

Shahar Hania, CEO of Rail Vision, remarked, “This patent underscores Rail Vision’s unwavering commitment to the railway industry, leading the way in safety and operational efficiency from switching operations to main line freight and passenger journeys. We believe that our ADAS AI-driven obstacle detection system represents a significant technological advancement in ensuring train safety by identifying and assessing obstacles in real-time, crucial for accident prevention.”

For more information visit www.railvision.io

22 May 2024