Sign Board Monitoring and Vehicle Accident Detection System Using IoT

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Abstract

The Rapid growth of technology and infrastructure has made our lives easier. The advent of technology has also increased the traffic hazards and the road accidents take place frequently which causes huge loss of life and property because of the poor emergency facilities. Our project will provide an optimum solution to this draw back. According to this project when a vehicle meets with an accident immediately Vibration sensor will detect the signal or if a car rolls over, and vibration sensor will detects the signal and sends it to RASPBERRY PI controller. Alcohol detection, eye blink is performed by the RASPBERRY PI Microcontroller sends, it alert mail through the IOT to the parents or a rescue team. So the person can immediately then after conforming the location necessary action will be taken. If the person meets with a small accident or if there is no serious threat to anyone's life, then the alert message can be terminated by the driver by a switch provided in order to avoid wasting the valuable time of the medical rescue team. This paper is useful in detecting the accident precisely by means of both vibration sensor and Alcohol detection, eye blink sensor.. As there is a scope for improvement and as a future implementation we can add a wireless webcam for capturing the images which will help in providing driver's assistance.

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APA

Ashok Kumar, K., Venkata Deepak, C., & Vamsi Rattaiah Chowdary, D. (2019). Sign Board Monitoring and Vehicle Accident Detection System Using IoT. In IOP Conference Series: Materials Science and Engineering (Vol. 590). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/590/1/012015

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