DETECT DRIVER’S DROWSINESS BY CNN AND COMPUTER VISION

Abstract

Driving is an activity to commute to reach a certain destination more quickly. It is estimated that more than 1 billion vehicles are traveling the streets and the roads on the entire globe. Driving is an activity that brings efficiency in reaching destinations, but driving can also bring some misfortunes to some if they are not careful. Some of this accidents occur with the cause of human errors, such as lack of sleep, not paying attention to the road, and not concentrating on the road ahead because of the familiarity of driving a vehicle for a long time. With this as a driving factor, this final project propose a solution to this problems, this final project proposed to make an application to detect the drivers’ eyes while driving to make a classification of the drivers’ attention using an object detection algorithm called You Only Look Once (YOLO) YOLO is one of object detection algorithm to be used in real-time that uses neural. This algorithm is considerably the fastest and most accurate object detection. The use case for YOLO algorithm are autonomous driving, to detect various wildlife detection, and can be used as a security system to enforce security in an area.