Railway track maintenance is undergoing significant advancements through the integration of an innovative system that utilizes moisture sensors, ultrasonic sensors, and a camera to detect faults in ballast layers. This approach offers a systematic and efficient way to assess track conditions, minimizing the need for manual labour and reducing time consumption. By mounting these sensors and the camera onto a trolley, the system simultaneously evaluates cushion levels, moisture content, and humidity while visually inspecting the track bed. The gathered data is securely stored in a cloud-based repository, enabling real-time access and simplifying data management. This technology not only streamlines the track inspection process but also significantly enhances the overall performance and safety of rail networks. The data collected is analysed and compared with traditional methods to ensure accuracy. It can then be utilized for proactive track maintenance and vegetation management, contributing to the long-term sustainability of railway operations. The findings from this study highlight the system’s potential to revolutionize rail network management by providing a precise, efficient, and reliable solution for improving track safety and structural stability.