Since our founding in April 2016, we have developed unique auxiliary systems for railway safety, based on image processing technology that provide early warnings to train drivers of hazards on and around the railway track, including during severe weather and in all lighting conditions. Our unique system uses special high-resolution cameras to identify objects up to 2,000 meters away, along with a computer unit that uses AI machine learning algorithms to analyze the images, identify objects on or near the tracks, and warn the train driver of the obstacle and potential danger. 

Our railway detection system includes different types of cameras, including optics, visible light spectrum cameras (video) and thermal cameras that transmit data to a ruggedized on-board computer which is designed to be suitable for the rough environment of a train’s locomotive. Our railway detection and classification system includes an image-processing and machine-learning algorithm that processes the data for identifying potential hazards on and around the track. These algorithms are designed to identify and classify objects such as people, animals, vehicles, bridges, junctions, signs, signals along the track, and anomalies. Our railway detection system actively classifies objects by severity to determine if an alarm should be signaled to the train driver. These data collection and classification capabilities can be extended to further use-cases such as predictive maintenance and big-data analyses.

Note: Revenue and net loss figures are for the six months that ended June 30, 2021.

(Note: Rail Vision Ltd. upsized its unit IPO at pricing on March 30, 2022, to 3.79 million units, up from 3.55 million units in the prospectus, and priced the IPO at $4.13 – the low end of its $4.13-to-$5.87 range – to raise $15.64 million. Those proceeds are about 12 percent less than the estimated IPO proceeds of $17.75 million, based on the recently revised terms. In an F-1/A filing dated March 24, 2022, Rail Vision Ltd. revamped its unit IPO to 3.55 million units, up from 1.97 million units previously, and cut the price range to $4.13 to $5.87, down from its previous $8-to-$10 range, to raise the same amount as under its previous terms: $17.75 million.)