The tedious and repetitive process of measuring and assessing track condition and the lack of
generational exchange among the aging skilled expert staff is generating ever-increasing costs for
maintaining rail infrastructure.
The lack of emergence of new revolutionary solutions and decisive
response of infrastructure managers to this problem will cause further aggravation of the problem
and high financial losses in the near time frame.
Low efficiency of manual measurements
High cost of maintenance personnel
Lack of automation of the process
High cost of diagnostic equipment
Supporting the maintenance processes for railways
Performing track inspections using machine vision instead of manual inspections,
significantly simplifying the planning and execution of rail infrastructure maintenance processes with
less personel engagement.
High inspection efficiency
Measuring up to 400 km of railway tracks per day (depending on the rolling stock used) –
40 times more than with manual inspection in the same time frame.
Low system operating costs
Introducing an unprecedented business model that strongly relieves the customer of the
personnel and monetary expenses associated with acquiring, maintaining, and operating the
Digitization of expertise and data
Unification of expert knowledge while saving and storing the volatile expertise and
replacing it with a digital memory, effecting in remarkably repeatable and reliable defect detection and
evaluation with up to 96% accuracy.
Ease of use
Dedicated streamlined application that allows interaction with the system for AI
prediction refinement and generating digital reports on the condition of rail infrastructure from preset
Easily adaptable to different types of rolling stock and specific needs of the customer,
allowing easy expansion of the system with new functionalities (extension of the analyzed area, creating
digital twins, BIM, etc.).
Provide reports from measurements of inspected infrastructure on customer demand in no
more than one business day.
Measured parameters and detected defects
Track condition inspection
- Head check (HCH)
- Missing fastening
- Missing elements (e.g. screw bolt)
- Wide crack
- Signs of wood rot
- Lack of sleeper (significant degradation)
- Completely covered sleeper
- Splashes on ballast
- Ballast level