Review on IoT-Enabled Smart Ultrasonic Radar for Real-Time Object Detection and Intelligent Tracking

The safety of railway transportation is a burning issue because of the growing number of rail traffic, the deteriorating infrastructure and constant track-related failures. Track cracks and structural faults are among other reasons of railway accidents that cause derailments and disruption of services. The old methods of manual inspection are time consuming, labor intensive and can be subject to human error and as such, cannot be used effectively in proving continuous monitoring. The latest trends in the embedded systems, wireless sensor networks, and Internet of Things (IoT) technologies have made it possible to design smart railway track monitoring systems. This review paper is a detailed discussion of the currently available railway track crack detection systems that are grounded on the IoT, embedded systems, vibration sensors and wireless monitoring systems. It is a critical analysis of sensor technologies, data transmission techniques, detection precision, cost-efficiency, and scalability of the system. Moreover, the article identifies gaps in research in real-time monitoring, remote reporting and fault localization. This review will shed light on how effective, cost-effective and scalable railway track crack detection systems can be designed to promote operational reliability and passenger safety by synthesizing findings of recent research on this topic. The Development of an IoT-Based Smart Railway Accident Detection System based on Ultrasonic Sensing Technology tries to improve the safety of railways by providing real-time monitoring and automatic detection of faults. The ultrasonic sensors identify any obstacles, cracks or abnormalities on the railway tracks and the IoT technology sends the alerts to a control center. The system facilitates the early identification, minimization of accidents, and efficient maintenance and safety management of the railways.