Rail Vision Granted US Patent Approval on AI-Powered Railway Obstacle Detection System
Ra’anana,
This patent outlines an advanced method for enhancing rail safety through the use of electro-optical imaging technologies combined with artificial intelligence. The system is designed to significantly reduce collisions on railroads by employing an artificial intelligence model that includes comprehensive scene analysis and image processing techniques.
Key Features of the Patent include:
- Advanced Electro-Optical Imaging: Utilizes single spectrum or multispectral imaging to capture comprehensive visuals of the train’s pathway and its surroundings.
- AI-Driven Image Processing: Incorporates deep learning through convolutional neural networks to precisely determine the railway path and detect potential obstacles along and near the path.
- Enhanced Safety Measures: Aims to dramatically reduce collision risks, thereby increasing the safety of rail operations.
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Source: Rail Vision Ltd.