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Sigma Rail wins Deutsche Bahn rail assets recognition challenge
   
 
  

German Railways (Deutsche Bahn) start-up hub, DB mindbox, has selected Spanish company Sigma Rail as the winner of its Object Recognition challenge among the eight competing emerging start-ups in the field of artificial intelligence and machine learning.


Sigma Rail wins Deutsche Bahn rail assets recognition challenge

(10/07/2019) 


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.
 

 


 
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