eTRAC 

eTRAC (Enhanced Train Reporting and Analytics for Cleanliness) is a project designed to improve how rail operators monitor and manage train cleanliness and condition. It aims to replace manual, inconsistent inspection processes with a more reliable, data-driven approach. Train cleanliness checks traditionally rely on human inspection, which can be subjective, time-consuming and difficult to scale across large fleets. This often leads to missed issues, inefficient cleaning schedules and increased operational costs. 

The project was inspired by the growing need for more efficient, transparent and sustainable rail operations, alongside advances in artificial intelligence and imaging technologies. Rail operators require better tools to maintain service quality while reducing resource use and improving the passenger experience. 

The main objective of eTRAC is to enable automated, real-time monitoring of train condition and cleanliness. The project uses image capture and data analysis to detect issues such as dirt, graffiti and damage, allowing operators to prioritise cleaning and maintenance activities more effectively. 

The project addresses the problem by introducing a digital system to capture and process data as trains move through key locations such as depots. This information is then used to generate insights, alerts and reports to improve decision-making and support more targeted interventions. 

The project is led by EYYA, implemented in collaboration with rail industry partners, and supported by innovation funding programmes. It was developed and tested in the United Kingdom, with implementation taking place in operational rail environments to ensure real-world applicability and scalability.