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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | AUTOMATIC RAILWAY TRACK CRACK DETECTION SYSTEM |
| Authors Name: | Mayuri Awadhutrao Meshre , Prof. P D Dhandhe , Meghana Arunrao Dhote , Nayan Rajahans Kosurkar |
| Unique Id: | IJSDR1903032 |
| Published In: | Volume 4 Issue 3, March-2019 |
| Abstract: | The fourth largest railway organization in the world is the Indian railway. The maintenance of the very big transport system can be difficult and human error can cause a trouble Commercial level is mainly depends on increasing the capacity and level of transport. Till date there are cases of rail derailment due to track break. The proposed organization is a solution to automatically railway track crack detection along with video streaming. Internet of Things is the most studied field and its applications are endless. Internet of Things (IOT) is implemented to give an up to date update on the railway management. In this mode IR sensor is used for detection and GPS receiver is used to track the location of the crack. A camera is fixed to provide the live video data to review the crack from the base stations. |
| Keywords: | IR sensor, GPS, Raspberry pi, etc |
| Cite Article: | "AUTOMATIC RAILWAY TRACK CRACK DETECTION SYSTEM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 3, page no.185 - 187, March-2019, Available :http://www.ijsdr.org/papers/IJSDR1903032.pdf |
| Downloads: | 000337064 |
| Publication Details: | Published Paper ID: IJSDR1903032 Registration ID:190211 Published In: Volume 4 Issue 3, March-2019 DOI (Digital Object Identifier): Page No: 185 - 187 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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