Design and Implementation of Intelligent Systems Detect the Driver’s Lack of Concentration

Today one of the serious challenges which the world faces is the cars accident. Accident poses irreparable damages to humans all across the globe. Many factors like technical bugs, disregarding of driving rules and loss of concentration contribute most car accidents. An experimental perspective over losing concentration proves its vital role in accidents. In this context, it is very important to monitor the driver’s lack of concentration. This article tries to recommend an intelligent algorithm in order to determine driver consciousness based on visual processing, eye state is one of the most important features to detecting driver’s lack of concentration. The algorithm contains two phases: 1- Face components detection, 2- Driver consciousness detection, The algorithm provides with a full-scale database so as to recover the algorithm instantly. Research findings confirm that our recommended intelligent Algorithm is 96% Successful to predict the driver consciousness. Moreover, we invent a concentration lost cautionary that was tested on a prototype that satisfied our expectations. Finally, we conclude that our recommended Algorithm can act as a deterrent against most terrible accidents successfully. We hope this algorithm reduces accident rate and create an advancement in Smart Cars knowledge.