ProductUpdated on 4 August 2025
Track Component Video Inspection System (TCVIS)
Sales Manager at DMA S.r.l. – A Socio Unico
Torino (TO), Italy
About
https://dmatorino.it/track-component-video-inspection-system/
DMA’s Track Component Video Inspection System (TCVIS) is a linear scanner that uses high-speed cameras and LED illumination system to take precise pictures of the rail surface and track components by non-contact imaging technology.
The Video Inspection System is composed by:
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Rail Top Video System
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Ballast-View Video System
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Rail Side Video System
The Video Inspection system replaces the need to walk the tracks or navigate crowded stations reducing the scope for human error in rail and track measurement and safeguarding crew and tracks.
It inspects the main infrastructure components:
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Top of the rail
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Fishplates / Joint bars
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Fasteners and clips
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Sleepers and Ballast
Linear Camera With Embedded Linux System
Specially designed by DMA, the linear camera features an embedded Linux system with image processors built into the FPGA performing real-time image compression. This distributes the computational power over the entire system. Plus, the light architecture and small number of PCs (typically one) increase system reliability and flexibility. It also eliminates the need for complex connections.
We are proud to have the longest and most proven experience in global Track Management solutions. Always at the forefront of technology, our professional team is made up of engineers and mathematicians whose skills and experience in automatic measurements allow us to offer our customers the most up-to-date solutions. And because we develop everything in-house, our customers benefit from continuous improvements and the best integration.
LED Benefits
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Embedded liquid-cooled LED illumination system
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Capable of spreading intense light on the target surface
Inspection Analysis features:
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Suitable for both ballast and slab track
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Automatic detection of broken/defective track components
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Automatic detection of missing track components
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Low rate of false positives
Organisation
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