Tuesday, February 14, 2023 4:26:59 PM
Here is what I can tell you. Our systems examine the entire set of railcars including top, sides and undercarriage. The 11 systems in production (soon to be 13), all can capture images which a trained inspector could use to identity issues that could lead to a derailment. AI is deployed on these systems and depending on the anomaly, the inspection teams could be notified in near “real-time” to use the images to conduct further investigation which can lead to them stopping a train.
It is too early to know what the exact cause of the East Palestine derailment was. We doubt that the railcar in question passed through one of our portals as we are not deployed in that area. However, if there was a mechanical issue that led to the derailment, our system likely would have the relevant images at a minimum and possibly could have pre-identified the issue with an appropriate AI algorithm. Our in-house mechanical car inspectors help us with the design of our AI and in the past, we have observed railcars that transited our system and our in-house mechanical car inspectors identified potentially serious issues - we notified the railroad in question and the actual train was halted pending further investigation and the potential avoidance of a serious incident. I will update further if we learn more.
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