Sigma Rail made it to the final where it showed its capabilities in the automatic rail asset identification and geo-localization fields. Thanks to the use of state-of-the-art artificial vision technologies, the company is capable of automatically identify rail assets from multimodal data bases, such as HD videos, images, 3D point clouds, etc. and triangulate its accurate position along the railway corridor.
Application of such technologies can benefit the planning, construction, deployment and maintenance of railway corridors. Automatic verification and validation activities, predictive maintenance or quicker deployment of systems such as ERTMS and CBTC are some of the foreseen applications.
In the upcoming 100 days, DB mindbox and Sigma Rail will co-create, develop and implement a solution that meets the German rail operator’s requirements in these fields.