Specializing in rail transit passenger trains and their electromechanical equipment, we leverage our expertise in MTR asset management to provide routine maintenance services spanning the entire lifecycle of such equipment. By integrating computer vision, sensor technology, and AI-based diagnostic solutions, we conduct condition analysis and predictive maintenance, while optimizing the coordination of spare parts, personnel, and operational workflows. This approach helps clients reduce unplanned downtime, enhance train availability rates, and advance operational and maintenance standardization alongside resource optimization.

The integrated obstacle detection system deeply combines sensor data from visible light, infrared, millimeter-wave radar, and LiDAR to enable intrusion obstacle detection and safety early-warning capabilities in rail transit areas. The system is suitable for harsh operating conditions in tunnels and elevated open-air environments; it supports a variety of vehicle types—including metro, intercity rail, tram, and locomotive vehicles—and can also be extended to monitor the status of peripheral equipment and facilities along the main lines.

A non-contact dynamic limit detection system, based on a 3D laser profilometer and machine vision, automatically performs external profile acquisition, limit exceedance assessment, and audio-visual alarms when vehicles pass through; this system provides real-time limit safety assurance for the entry and exit operations of rail transit vehicles during maintenance.