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DIGAV (Apparatus and Track Graphic Inspection Device)
New visual inspection device for the maintenance of railway tracks

30-40% reduction of track runs

Generation of 3D models

Seven cameras and three more stereoscopic cameras

From the moment a railway system of any type (a conventional, high-speed or metropolitan line) enters service, the maintenance phase begins, on which depends its ability to operate reliably and, above all, safely. For this, all the maintenance tasks of the assets that are present in the operation of the railway lines enter into the equation: maintenance of the rolling stock, the infrastructure and track and all the systems and subsystems of energy, telecommunications, safety and civil protection installations. All of them must be in perfect condition for the correct operation of the entire railway system.

Ineco has designed a new visual inspection device for railway track maintenance. The DIGAV (Device for the Graphic Inspection of Apparatus and Track), through the use of artificial intelligence and specific algorithms for the automatic identification, detection and evaluation of defects.

Thanks to the analytical processes, based on artificial intelligence and image processing algorithms, it is possible to process all the information collected and automatically detect defects such as the lack of an asset, its correct position, the automatic inventory of assets or the evaluation of the ballast shoulder.

All the information collected is stored on the servers, allowing its evaluation and analysis and opening up the possibility of developing predictive maintenance models or generating digital twins.

Data Sheet
Location: Spain
Client: -
Execution period: -
Market: Railways

Intelligence and innovation for predictive maintenance

This device has seven cameras, in addition to three stereoscopic cameras, which allow the generation of 3D models. Based on the information collected by these devices, it is possible to visualise the lane from all angles, as well as to take measurements on the generated models. All this information collected represents a qualitative increase when assessing the state of the track as it allows, for example, to see in detail the web of the track, which is not possible with other on-board equipment that only takes/captures zenithal information of the track body.

Furthermore, thanks to its continuous capture system, this prototype makes it possible to increase the inspection speed to 3.5 km/h, which reduces the duration of track runs by 30-40% (in a 200 km double track area, we would go from the current ten weeks to less than seven weeks) and generates an increase in the quality of graphic and analytical data collection that does not depend on the human factor.