AI Precision on Rails Advanced Object Recognition for Train Track Safety – A Survey

Object detection in railway will help to enhance safety, operational efficiency, and the overall reliability of rail trans portation. Various technologies and methods can be employed for object detection in railway lines, including but not limited to computer vision, LiDAR, radar, thermal imaging, and sensor networks. Recently, deep learning and machine learning methods are applied to perform image and data analysis to classify and track objects such as trains, maintenance equipment, tres passers, or obstructions. Additionally, sensors and detectors can be strategically placed along the railway lines to capture the critical data. This study reviews the advancements and challenges associated with object detection systems along railway lines and aims to provide a holistic view of object detection in railway environments. It covers a wide range of topics, including the types of objects detected, the methods and technologies employed, real-world applications, and the prospects of the field.