Journal of Advances in Computer Vision and ApplicationsISSN:

Improved Safety and Communication for Railway Track Maintenance Workers Using IoT-Enabled Alert System

  • Abhishek Kumar Shukla and
  • Ashish Bhateja

Abstract

Railway stations frequently face safety concerns, particularly at track and platform edges, especially during peak working hours when crowds increase, Lack of proper training on safety protocols and equipment. The close proximity to trains poses risks for railway workers. To mitigate these hazards and enhance safety at railway platforms, a targeted improvement method has been identified. Our research paper suggests using an Internet of Things (IoT) device to improve communication and safety for track maintenance workers. It deals with the regular accidents brought on by poor communication between station masters and laborers. By quickly notifying supervisors and tracking personnel when it detects vibrations on the track, the suggested gadget reduces the possibility of accidents. The design, implementation, testing, and efficiency of the device in enhancing worker safety and communication on the track are all covered in depth in this report. This paper offers important new perspectives on how to apply IoT ideas to improve workplace safety and communication in risky situations. India has a vast railway network, and maintaining the tracks there presents significant safety risks for workers. This research provides a viable solution applicable to Indian railway systems by addressing the problem of inadequate communication and safety in track repair. Putting the suggested IoT gadget into use might significantly lower accident rates and increase worker safety in India's railway industry. This method successfully achieved its objectives, resulting in the development of a railway worker's safety device. This device raises safety awareness and has the potential to reduce accidents among Railway Track Maintenance Workers.

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