According to the World Health Organization Road Traffic Injuries Fact Sheet, approximately 1.3 million people die yearly from road traffic crashes. In addition, the fact sheet shows that drivers using mobile phones are about four times more likely to be involved in a crash than drivers not using a mobile phone. Apart from this, dangerous driving behaviours and driver emotions are growing concerns for road safety. This project aims to develop a model for detecting unsafe driving behaviours and analysing driver emotions to avoid and minimise traffic accidents. We focus on detecting distractive behaviours, lousy driving practices, and abnormal feelings. An alert feedback will notify the driver when unsafe driving behaviours are seen. Furthermore, To mitigate the hardware requirement and disturb the driver, the detection framework will host to a cloud platform and connect with all cameras pre-installed in the car. We foresee that an innovative micro-service will monitor all driving behaviours in rented vehicles.
