How to Cite: Raj, V. A., Kumar, J. S., & Dhas, M. D. K. (2022). Robo hand car to monitor the health of the tracks in railways. International Journal of Health Sciences, 6(S1), 13180–13186. https://doi.org/10.53730/ijhs.v6nS1.8723 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 18 March 2022, Manuscript revised: 9 April 2022, Accepted for publication: 27 May 2022 13180 Robo hand car to monitor the health of the tracks in railways V. Arun Raj Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi Corresponding author email: arunraj@mepcoeng.ac.in Dr. J. Senthil Kumar Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi Email: senthilkumarj@mepcoeng.ac.in Dr. M. Davidson Kamala Dhas Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi Email: mdavid@mepcoeng.ac.in Abstract---Transportation plays a major role of a person’s life. A life without transportation is unimaginable. People focus on four major types of transportation i.e. Roadways, Railways, Airways and Waterways. Among these transportation majority of people prefer railways as it helps connect distant locations and the comfort it provides. But the problem in railways is it needs more of monitoring and thereby the person travelling across areas can be at ease. In order to ensure safety in railway transportation, monitoring of tracks is very crucial. Hence, this research article focuses on monitoring the tracks present in railways through a novel image processing technique devised. The name of the technique we devised is known as CRACK TRACKER. Crack Tracker does the role of monitoring the tracks by capturing the images of the tracks and it is sent to the nearby station so that the cracks can be patched in the future. The cracks are clearly detected and intimated instantly to the station master. A reliable solution for continuous and cost efficient tracking is processed and depicted in this research article. Keywords---Track Monitoring, Image processing, Crack Detection and GPS Response.