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The usage of vehicles is increasing daily in everyone’s lives. Most of the people break the rules of traffic and indulge in rash driving. Rash driving is extremely dangerous for all people involved: the driver, passengers, pedestrians, and other vehicles on the road. Nearly 90% of deaths on the road happen due to rash driving. If there are a greater number of vehicles moving on a road, then there is a higher possibility of an accident. Rash driving is a problem that goes undetected in the status quo due to the lack of any devices or technologies to detect it at every instance. It is extremely tough to detect it manually, and this poses a big safety threat. In this paper, we propose a detection system that can analyze gyrometer and accelerometer readings to conclusively decide whether a driver is operating their vehicle in an unsafe manner or not, viz a sudden braking, sudden acceleration or crossing the speed limit. We make use of Raspberry Pi 3 Model B+ and similar IoT (Internet of Things) technologies to implement this system. Our final aim is to reduce incidents of rash driving to make a safer environment on roads and to reduce the number of accidents taking place.

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