Driver Safety and Drowsiness Detection in Internet of Vehicles with Federated Learning

Rising road accidents have been a serious issue to any nation, whatsoever developed it has been. The primary reasons all attribute to one sole reason- Driver negligence and unsafe driving habits. There are many factors that can impact driver safety, including the condition of the vehicle, the driver’s physical and mental state, and the road and weather conditions. Considering there is nothing much to do about road and weather conditions, our primary goal here is to assess the driver of their state and take necessary precautions. We assume all the vehicles to be a part of an Internet of Vehicles (IoV), apply a federated learning based approach to get the driver behavioral patterns and alert them or nearby drivers/authorities. While the exact precision and value for this approach is still to be found out, we are hopeful about the goodwill and the safety it will bestow upon the road and transport.