Patent updates from Rail Vision, Alphavu

May 22, 2024
The United States Patent and Trademark Office has made updates to Rail Vision and Alphavu's separate patents.

Rail Vision Ltd. and Alphavu have made major updates to their current respective patents.

Rail Vision

Rail Vision has received a notice of allowance from the United States Patent and Trademark Office for its AI-based railway obstacle detection system.

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:

  • 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.

"This patent indicates Rail Vision's commitment and devotion to the railway industry, pioneering safety and operational efficiency from switching operations to main line freight and passenger journeys," said Shahar Hania, CEO of Rail Vision. "We believe that our ADAS AI-driven obstacle detection system represents a significant technological advancement in ensuring the safety of trains by identifying and assessing obstacles in real-time, which is critical for the prevention of accidents."


The United States Patent and Trademark Office has granted patent number 11,966,702 to AlphaVu for the company’s invention of technology and methods used to analyze sentiment and detect misinformation. 

AlphaVu’s newly patented algorithms identify and analyze misinformation from digital data sources including news media sites, social media, e-mails, and call center transcripts. AlphaVu’s machine learning models study each individual comment and calculate its misinformation risk and overall sentiment. 

“This patent validates AlphaVu’s unmatched approach and capabilities in scoring public sentiment with reliable accuracy,” said AlphaVu founder and CEO Scott Wilkinson. “There are now more places than ever for our communities to share feedback and spread ideas and our technology makes it possible for companies to aggregate that data, analyze it with pinpoint accuracy, and create actionable insights.”

AlphaVu’s algorithms for measuring sentiment and detecting misinformation were developed during the pandemic as the company worked with public health agencies to understand and fight misinformation about vaccines. The algorithms now feed AI systems that measure customer satisfaction, public sentiment, and voter opinion.