INTELLIGENT TRAFFIC PATH DIAGNOSTICS USING LASER TECHNOLOGY
^{reg číslo: CZ.01.1.02/0.0/0.0/19_262/0020267}

The project aims to provide new knowledge for the creation of an innovative product of a new diagnostic system for the measurement of critical components of the railway superstructure using the opto-laser method. The aim is to ensure high safety of the railway as a critical infrastructure, to increase the throughput of the railway, to reduce energy consumption, to increase the speed of railway traffic and to reduce the cost of repair and maintenance of the railway superstructure.

The aim is to ensure higher safety of critical railway infrastructure (railway track) and identification of defects, malfunctions or damage to infrastructure and other track equipment. The form of physical inspections and diagnostics of tracks has recently undergone considerable development. Measured diagnostic data is a key input for the assessment of tracks and the resulting activities, including maintenance planning. As the speed on the tracks increases, the track diagnostics is of an increasing importance (ensuring track safety). Higher speeds of passing trains place higher demands on the quality and reliability of tracks and on ensuring their serviceability.

 With the newly emerging modern technology of Opto-Laser Technology, it offers completely new possibilities for detecting defects, or suspected covered defects. The combination of such HW equipment with developed software with embedded mathematical algorithm for artificial intelligence and intelligence of the environment (containing algorithm of the method for object recognition in images for identification of areas) ensures machine decision-making about the category to which the identified object falls. This process will create an innovative product with Deep Learning + Machine Learning to provide continuously refined measurement sensitivity and smarter processes in defect identification.