Fatigue and drowsiness detection of the car driver based on image processing and artificial intelligence on the mobile phone

1403 4 62 98 and advanced algorithms, including algorithms based on deep learning, has a low computational cost and can be implemented in real time on different types of smart mobile phones.Also, by adjusting the sensitivity of the software by the user, based on the detection of one or two open eyes in the area of the face and the time between two consecutive frames of not detecting open eyes, increasing the number of correct alarms and reducing the number of false alarms can be controlled.In this research to train and increase the accuracy of the intelligent model used, a database of 500 suitable images in different driving situations was prepared and used.Experimental results on 20 test videos in different driving situations show the proper performance of the designed system by creating 95% of the expected alarms.Based on the results of numerous and various experimental tests with the acceptable performance of the product of this applied research in detecting driver drowsiness and creating correct alarms, it seems that if used by drivers, it can prevent many car accidents.