Improving social safety with automobile pilot adroitness analyzer

Abstract

The number of losses and fatal accidents in developing countries, where traffic rules are not paid much attention to, due to the recklessness of drivers is far too great. Thus, a thorough analysis of driving behavior and driving habits should be performed before issuing a driving license to any driver. The current license issue process involves manual checking of the proficiency of a driver. This kind of process has several loopholes. To avoid such shortcomings, a low-cost system is developed, which digitally monitors a driver’s habits. It considers some very important and common metrics that a driver is expected to follow, before qualifying for one’s proficiency. A classification is made based on all of the logged data, using various data analysis algorithms. The same can be used to determine whether a driver is fit to drive or not.