Using Computer Vision to Detect Deviations in Automatic Train Control Values during Locomotive Operation

One of the fastest-growing technologies is computer vision. Its high adaptability allows it to be applied in a wide range of tasks. This article proposes to explore the application of computer vision to solve problems in the railway industry. One of the most pressing problems in this area is the low efficiency of the automatic train control system, caused by the difficulty of accurately determining train movement data. To solve this problem, we propose the development of a control system that can provide a more efficient way to monitor train movement. This can be achieved using computer vision methods to calibrate and set the parameters of the automatic train control system relative to railway markings (mileposts and kilometer posts).