Journal of Cognitive Human-Computer Interaction

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https://doi.org/10.54216/JCHCI

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2771-1463ISSN (Online) 2771-1471ISSN (Print)

Volume 2 , Issue 1 , PP: 29-33, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

Artificial Intelligence Based Accident Detection and Alert System

M. Sumithra 1 , B. Buvaneswari 2 , Sangeetha 3 , Shalini 4 , Sundareswari 5 , Vishnu PriyVishnu Priya 6

  • 1 Department of Information Technology, Panimalar Engineering College, Chennai, India - (sumithram.id@gmail.com)
  • 2 Department of Information Technology, Panimalar Engineering College, Chennai, India. - (buvanraj77@gamil.com)
  • 3 Department of Information Technology, Panimalar Engineering College, Chennai, India. - (sangeethsarsha26@gmail.com)
  • 4 Department of Information Technology, Panimalar Engineering College, Chennai, India. - (selvi01051977@gmail.com)
  • 5 Department of Information Technology, Panimalar Engineering College, Chennai, India. - (sundareswari2307@gmail.com)
  • 6 Department of Information Technology, Panimalar Engineering College, Chennai, India. - (priyanarayana2002@gmail.com)
  • Doi: https://doi.org/10.54216/JCHCI.020104

    Received: September7, 2021 Accepted: December26, 2021
    Abstract

    Lost time is never found again is a great sounding slogan which signifies that how every single moment is valuable for a victim striving for life in an road accident. So there is a need for right medical care at the right time. The goal of our system is to detect an accident and rescue the victim as early as possible. The system uses GPS map camera with artificial intelligence to detect the accident and an android application in which the public, police and the hospitals can connect and collaborate with each other in a best possible way in case of an emergency or accident thereby reducing the number of deaths caused by accidents.

    Keywords :

    Accident detection, Artificial Intelligence, GPS camera, Android application

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    Cite This Article As :
    Sumithra, M.. , Buvaneswari, B.. , , Sangeetha. , , Shalini. , , Sundareswari. , PriyVishnu, Vishnu. Artificial Intelligence Based Accident Detection and Alert System. Journal of Cognitive Human-Computer Interaction, vol. , no. , 2022, pp. 29-33. DOI: https://doi.org/10.54216/JCHCI.020104
    Sumithra, M. Buvaneswari, B. , S. , S. , S. PriyVishnu, V. (2022). Artificial Intelligence Based Accident Detection and Alert System. Journal of Cognitive Human-Computer Interaction, (), 29-33. DOI: https://doi.org/10.54216/JCHCI.020104
    Sumithra, M.. Buvaneswari, B.. , Sangeetha. , Shalini. , Sundareswari. PriyVishnu, Vishnu. Artificial Intelligence Based Accident Detection and Alert System. Journal of Cognitive Human-Computer Interaction , no. (2022): 29-33. DOI: https://doi.org/10.54216/JCHCI.020104
    Sumithra, M. , Buvaneswari, B. , , S. , , S. , , S. , PriyVishnu, V. (2022) . Artificial Intelligence Based Accident Detection and Alert System. Journal of Cognitive Human-Computer Interaction , () , 29-33 . DOI: https://doi.org/10.54216/JCHCI.020104
    Sumithra M. , Buvaneswari B. , S. , S. , S. , PriyVishnu V. [2022]. Artificial Intelligence Based Accident Detection and Alert System. Journal of Cognitive Human-Computer Interaction. (): 29-33. DOI: https://doi.org/10.54216/JCHCI.020104
    Sumithra, M. Buvaneswari, B. , S. , S. , S. PriyVishnu, V. "Artificial Intelligence Based Accident Detection and Alert System," Journal of Cognitive Human-Computer Interaction, vol. , no. , pp. 29-33, 2022. DOI: https://doi.org/10.54216/JCHCI.020104