IoT based vehicle accident tracker with driver alcohol consumption detector

Alagappan, Tharanya (2021) IoT based vehicle accident tracker with driver alcohol consumption detector. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

On a daily basis multiple types of news are being encountered either on social media, news channels or newspapers but there is not even a day without a news regarding a road accident. Road accidents are being so common nowadays where people are not even surprised to hear someone is dead due to a road accident whereas people started recording it using their mobile phones which are widely being seen on social media platforms. Occurrence of deaths and injuries due to accidents are just being a normal information nowadays rather than being a serious news. In a split second, accidents are harming so many lives out there. If it is come to see the factors causing these accidents, the most reported cases are likely to be drink driving, irresponsible driving, disobeying rules and regulations. Consequently, accidents lead to deaths as victims failed to receive medical approach or any assistance immediately. This IoT Based Vehicle Accident Tracker with Driver Alcohol Consumption Detector will help to reduce the delay of reaching medical assistance and reduce the number of accidents. When a vehicle meets an accident, immediately a vibration sensor will detect the signal and sends it to Arduino UNO. Arduino will alert respective officers through the GSM modem whereas to detect the alcohol consumption level by the driven an alcohol sensor MQ3 is used. Location of the accident spot will be detected through GPS module and will be sent to the authorities through GSM modem.

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