Utilizes high-resolution cameras and AI-powered image analysis algorithms to capture rail surface images and automatically detect wave wear locations, wavelengths, and defect types.

Converts inspection results into a database for predictive maintenance and management.

Operates reliably at speeds of 70–80 km/h.

Diagnoses wave wear with over 97% accuracy.

Achieves longitudinal resolution of ±1 mm along the rail.

Compact and lightweight (under 10 kg), equipped with battery and wireless modules.

Maximized usability through compact, modular design compared to bulky foreign inspection vehicles.

Automated image-based diagnostics provide intuitive and highly reliable results.

Preventive noise and vibration management improves passenger satisfaction.

Replaces costly imported equipment → significant cost savings.

Streamlines maintenance → reduces labor and time requirements.

Enables domestic technological independence → ensures stable supply chain.