Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
As we witness in our day-to-day life, there are many accidents caused in the road transport. Every day hundreds to thousands of people die due to accidents or are also affected minor or in a severe level due to accidents. It is very important to develop and research some technologies which will avoid accidents, and enable the owner to track the vehicles when there is a large transportation systems. This system will help such transporters as well as ambulances and other vehicle transportation in reducing the risk of accidents. This system is able to differentiate between normal and abnormal movement of vehicles which will therefore notify the owner and will also help in reducing accident causing situations. The rash driving of the driver is detected and the owner is informed about the rash driving along with the location of the driver. This is the important feature of our proposed project. The project also helps in detecting alcohol content in the vehicle. If present, the immediate notification will be sent to the user or the owner and the location will be shared through SMS.
"SMART ACCIDENT RESCUE SYSTEM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1226 - 1231, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207191.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator