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Home BIA2024 Helping trains run smoothly with AI

Helping trains run smoothly with AI

by Geny Caloisi
A.I. Tech has launched AI-RAIL, a new video analysis application based on advanced artificial intelligence and deep learning algorithms for railway safety. The solution detects obstacles on railway tracks – perhaps we are approaching a time when ‘leaves on the track’ will no longer be a reason for railway delays. 

The application offers a high degree of control, allowing it to be activated and deactivated using software (API) or hardware (I/O device). This flexibility ensures that the app avoids triggering alarms while the rail crossing is open, allowing vehicles to pass without any restrictions.

AI-RAIL is a proactive system designed to monitor rail crossings to ensure their clearness. It can also be utilised near tunnels or rocky ridges where there is a significant risk of falling rocks. The system’s primary function is to enhance safety and prevent potential accidents in these high-risk areas.

This application has two main uses: at rail crossings and in tunnels. At crossings, the application is intermittent. It checks for any obstacles, such as objects, vehicles, or people, that might obstruct the train when the barrier is closed. It activates via external inputs only when the rail crossing buried is down and deactivates during its regular use. 

The system must continuously operate in tunnels, though. However, to reduce the number of false alarms, the system is deactivated during the train’s passage, thanks to artificial intelligence’s ability to identify the presence of a train.

AI-RAIL provides a comprehensive range of options for sending detected events to external servers. With over 20 different mechanisms, including third-party VMS, standard protocols like HTTP, FTP, MODBUS, MQTT, and A.I.Tech proprietary protocols, the system ensures seamless event notification to a variety of platforms, including A.I. Tech dashboards.

AI-RAIL is one of the finalist on the Benchmark Innovation Awards 2024, on the Analytics and Software Innovation category. You can vote HERE.

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