2008Unpublished venueRequires access

Commercially driven automated rail vehicle inspection

Kevin Fry, T. Robertsson

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Abstract

Recent years have seen a significant increase in the use of artificial vision for automated rail vehicle inspection systems. However, many applications of the technology have failed to deliver their business potential and one of the main challenges remaining is to find ways to unlock all the benefits that the technology offers. This paper demonstrates that one of the keys to success lies in having a clear understanding of the business value of the monitoring information in order to focus implementation. It describes a very commercially driven approach to implementation that has been jointly adopted by the monitoring system user and the system supplier. The approach is generally applicable to the implementation of all types of monitoring project. (6 pages)

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What this paper is about

Recent years have seen a significant increase in the use of artificial vision for automated rail vehicle inspection systems. However, many applications of the technology have failed to deliver their business potential and one of the main challenges remaining is to find ways to unlock all the benefits that the technology offers. This paper demonstrates that one of the keys to success lies in having a clear understanding of the business value of the monitoring information in order to focus implementation. It describes a very commercially driven approach to implementation that has been jointly adopted by the monitoring system user and the system supplier. The approach is generally applicable to the implementation of all types of monitoring project. (6 pages)

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Available abstract

Recent years have seen a significant increase in the use of artificial vision for automated rail vehicle inspection systems. However, many applications of the technology have failed to deliver their business potential and one of the main challenges remaining is to find ways to unlock all the benefits that the technology offers. This paper demonstrates that one of the keys to success lies in having a clear understanding of the business value of the monitoring information in order to focus implementation. It describes a very commercially driven approach to implementation that has been jointly adopted by the monitoring system user and the system supplier. The approach is generally applicable to the implementation of all types of monitoring project. (6 pages)

Key concepts: Computer science, Focus (optics), Systems engineering, Engineering, Optics, Physics

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