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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 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Railway Accident Control by Digital Image Processing |
| Authors Name: | Shanthveeresh N S , Fiza Anjum , Niveditha B R , Shifana Anjum S K , Pallavi K S |
| Unique Id: | IJSDR2305029 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | The government's biggest issue is accidents on the railroads, which can occur for a variety of causes. Railway networks passing through sensitive forests and other locations because of unforeseen animal arrivals, sand falls, large stones, or track faults that could result in fatalities and some degree of economic damage are a few of the causes. To stop all these issues Utilized is radar/photoelectric technology. The system is created using the available technology. The radar source on the locomotive closes the waves that cover an area of a few kilometers surrounding the train and detects any issues with the rail network. Based on this detection, the loco pilot reduces the locomotive speed. We are using digital signal processing technology to solve these issues. We use digital image processing technology for real-time implementation; when an obstruction is detected, the pilot of the locomotive is notified, and in electric trains, breaks are immediately applied. The way the digital image processing technology operates is that we first work with track data by keeping a database with several photographs taken depending on various scenarios of an obstacle's presence on a railway track. In front of the locomotive is this DIP technology product for controlling railway accidents. |
| Keywords: | Raspberry Pi, IR Sensor, USB Web Camera and Servo motor. |
| Cite Article: | "Railway Accident Control by Digital Image Processing ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.190 - 199, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305029.pdf |
| Downloads: | 000222060 |
| Publication Details: | Published Paper ID: IJSDR2305029 Registration ID:206013 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 190 - 199 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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