REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT

May 2022
Vol-8, Issue-3
Paper ID: 17080
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electronics and Telecommunication Engineering
Keywords
Crack detection GPS Ultrasonic sensor Railway track Node MCU ESP8266 module.
Abstract
In India railways transportation service is the cheap and the majority convenient mode of passenger transport and also for long distance and suburban traffic. The Indian Railways consists one of the largest railway networks in the whole world, crises-crossing over 1, 15,000 km in distance, all over India. In country like India, where majority of people depend on railways for transportation, if a crack in railway track is not detected during the early stages they may lead to derailment causing heavy loss to human life and property. Almost 24 million passengers use the railway system on a daily basis. The main cause of the accidents happened in railways are railway track crossing and unrevealed crack in railway tracks. Therefore, there is a need to have new technology which will be robust, efficient and stable for both crack detection in railway track as well as object detection. Our work involves a project that aims of designing a railway crack detection system (RCDS) using Ultrasonic Sensor, GPS (Global Positioning System) and Node MCU ESP8266 Wi-Fi module whose implementation is an efficient method of detecting the cracks which is present in the tracks and thus avoiding derailment of the trains. Crack detection by this method can be done during both day and night time and ex act location of fault can be obtained.

Author Information

# Name Institute / Affiliation
1 Avini Ganesh Nandanwar Priyadarshini JL College of Engineering
2 Shreedarshan Nanotkar Priyadarshini JL College of Engineering
3 Sakshi Bhure Priyadarshini JL College of Engineering
4 Satish Kathane Priyadarshini JL College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Nandanwar, Avini Ganesh, Nanotkar, Shreedarshan, Bhure, Sakshi, & Kathane, Satish (2022). REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2798-2802.
MLA Style
Nandanwar, Avini Ganesh, et al. "REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2798-2802.
IEEE Style
Avini Ganesh Nandanwar, Shreedarshan Nanotkar, Sakshi Bhure, and Satish Kathane, "REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2798-2802, 2022.
Vancouver Style
Nandanwar Avini Ganesh, Nanotkar Shreedarshan, Bhure Sakshi, Kathane Satish. REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2798-2802.
Harvard Style
Nandanwar, Avini Ganesh, Nanotkar, Shreedarshan, Bhure, Sakshi, & Kathane, Satish (2022) 'REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2798-2802.
Chicago Style
Nandanwar, Avini Ganesh, et al. "REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2798-2802.
Turabian Style
Nandanwar, Avini Ganesh, et al. "REVIEW PAPER ON RAILWAY TRACK CRACK DETECTION ROBOT USING IOT." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2798-2802.

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