IoT 20(20): e3

Research Article

A Review on Smart Helmet for Accident Detection using IOT

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  • @ARTICLE{10.4108/eai.13-7-2018.164559,
        author={H.C. Impana and M. Hamsaveni and H.T. Chethana},
        title={A Review on Smart Helmet for Accident Detection using IOT},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={5},
        number={20},
        publisher={EAI},
        journal_a={IOT},
        year={2020},
        month={5},
        keywords={Accidents, smart helmet, IOT, Laws and Regulation},
        doi={10.4108/eai.13-7-2018.164559}
    }
    
  • H.C. Impana
    M. Hamsaveni
    H.T. Chethana
    Year: 2020
    A Review on Smart Helmet for Accident Detection using IOT
    IOT
    EAI
    DOI: 10.4108/eai.13-7-2018.164559
H.C. Impana1,*, M. Hamsaveni2, H.T. Chethana2
  • 1: Mtech Student Department of Computer science and Engineering Vidya Vardhaka college of Engineering Mysore, India
  • 2: Assistant Professor Department of Computer science and Engineering Vidya Vardhaka college of Engineering Mysore, India
*Contact email: impanachannegowda@gmail.com

Abstract

As we know that accidents are increasing day by day, we can also notice that many laws and regulations are posed by government in order to avoid this accidents. Accidents can be defined as the unplanned event or the mistake that may occur resulting in injury and sometimes it also leads to death. The accidents in case of two wheelers are more compared to other vehicles. This may be avoided by wearing helmets and riding vehicles without consuming alcohol. This survey is on smart helmet for accidence avoidance and also examining various related techniques. This research also helps us to understand IOT technology which is being emerged now a days. From the literature survey we find that the method proposed using microcontroller RF transmitter and other sensors is cost effective but we find the system proposed using Raspberry pi module, Pi camera, Pressure Sensor, GPS system which uses image processing algorithms is most efficient since the image processing is included so that we can easily detect the use of helmet from the rider. Smart helmet system helps to provide safety and security to the two wheeler riders.