E!79 ATTUNE, An intelligent predictive fault identification system for the railway industry, Irisity AB

Important results from the project

The technical objective that was set up has been achieved to a large extent. A solution that estimates the track gauge with acceptable accuracy, using a cost-effective stereo camera, has been developed. In addition, methods that can estimate the characteristics of the railway infrastructure have been developed. These look promising, but need further work in the future. In addition to the technical results, internal project processes have been enhanced during the project.

Expected long term effects

We hope for purely commercial effects, that together with our integration partner we can exploit the development financially. In addition to this, we have strengthened our position within computer vision, something we hope and believe will give a competitive advantage in future project discussions regarding the sale of our engineering services.

Approach and implementation

The schedule that existed for the entire project was broken down into an internal delivery plan. The project followed the schedule to a very large extent. The internal deliverables (software as well as hardware) were developed and verified on time. The project deviated from the plan in the integration phase, where the lack of an integration environment made large-scale system testing impossible.