Automated Raiway lines Inspection
AI-RWay is an innovative platform designed to automate and optimize railway infrastructure maintenance by leveraging drones, artificial intelligence, and advanced image analysis.
The system enables automated verification of railway line conditions through detection of obstacles and anomalous objects along the track, monitoring of vertical railway signage (including condition assessment and identification of degradation or absence), inspection of installed elements such as track circuits.
Zirak contributed to the design of the software architecture, the development and integration of AI and Computer Vision models, and the end-to-end data management process — from video acquisition to the structured generation and management of alerts.
The platform integrates map-based visualization, event classification, severity assignment, maintenance planning tools, ensuring full traceability and operational support for maintenance teams. The project concluded with demonstrations in real-world scenarios and validation of the solution under diverse operational conditions, confirming its applicability in concrete railway environments.
AI-RWay is a SWIch project carried out with the support of the Regional Programme ERDF 2021/2027 (European Regional Development Fund), under the call “Support for R&D&I activities and the economic valorisation of innovation.”
Virtual sensors
