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Automated Train Inspection – The Inspection Tunnel


From detecting wear and tear to data analysis and maintenance optimization through artificial intelligence – PSI Technics offers a sustainable and advanced maintenance solution.

Since the inspection takes place when the train passes through tunnel, the maintenance shop is freed up for other maintenance-related tasks. Trains that do not need to be serviced remain operational, which increases maintenance efficiency and sustainability and improves the availability and timeliness of trains while ensuring process reliability.

The inspection tunnel combines three vital elements of automated train inspection:





VIDEO: DA-MI-KA optimizes the maintenance workflow at DB Fernverkehr AG. Roof inspections can be carried out on a regular basis and in significantly less time.

Click here to read the application report.

To provide customers with a condition-based maintenance solution for the visual inspection of multiple-unit high-speed trains, our engineers developed an automated camera-based system. The system records all damages to the wearing strips, roof, sides and the underbody of any train that passes below it, for example, when the train enters a depot or drives through a dedicated "inspection tunnel". The recorded data is send directly to the Analytics software module. After the images have been analyzed by the Analytics software, the inspection reports are created automatically and can be viewed directly via an intuitive user interface. The analysis results are repeatable, reliable and immediately available.

Artificial Intelligence (AI) - Data Mining - Deep Learning - Machine Learning

Artificial intelligence algorithms enable camera systems to learn from samples. Based on large volumes of recorded and analyzed data, modern machine learning algorithms help to continuously improve the evaluation of quality-related properties. The obtained data can subsequently be used for further processing and analysis.

The more data is collected, the better the software "learns" to interpret potential correlations. It intelligently and automatically combines recorded data to generate additional information for every train or component, saving valuable time and ensuring precise maintenance planning.

The results of the automated train inspection are stored in the cloud, to ensure that data from various systems at different locations can be shared and used simultaneously. Detecting wear and tear at an early stage contributes to the optimization of maintenance processes and ensures the continuous and seamless monitoring of safety-critical components.



Our application experts are standing by to answer your calls or written requests. Please call +49 (0) 2630 91590-0 or use the contact form to submit your queries or send an email to support@psi-technics.com


>Application Reports >Videos >Automated Train Inspection – Inspect >Automated Train Inspection – Analyze >Automated Train Inspection – Optimize >Industrial Image Processing – Applications >Industrial Image Processing – Industries >Industrial Image Processing – Systems & Solutions >Industrial Image Processing – Service & Support


>Camera-based DA-MI-KA Train Roof Inspection Product Flyer (PDF) >DA-MI-KA Analytics Product Flyer (PDF) >Industrial Image Processing / Camera Technology Product Flyer (PDF)


Our Goal: To Increase Your Profitability

Optimizing processes translates to improved quality and profitability. And this is exactly what we offer: Systems and solutions specifically tailored to your needs that save resources and increase your profitability.

PSI Technics combines engineering know-how with innovative technologies like artificial intelligence and big data applications – from consulting to commissioning to care and maintenance – so that you can leverage the potential of your facility to the fullest.


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PSI Technics' engineers developed the camera-based DA-MI-KA roof inspection system to enable automated, condition-based maintenance for multiple-unit high-speed trains.

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PSI Technics GmbH
Rudolf-Diesel-Straße 21a
56220 Urmitz | Germany

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