Automatic Driver Distraction Detection Using Computer Vision and Deep Learning: a MiniReview

One of the major challenges in the world today is traffic accidents, which occur due to various factors such as driver distraction during driving, as these factors will have serious and irreparable consequences. There are various methods for detecting distraction factors. The use of machine vision-based technologies and deep learning for automatic detection of these factors can improve driving safety and minimize accidents caused by distraction. The use of intelligent image processing algorithms on image data obtained from cameras installed in the driving environment for extracting relevant characteristics and signs is very efficient. By utilizing deep learning algorithms, the driver's condition can be identified and recognized. In this way, intelligent assistance is provided to the driver to improve their focus and prevent accidents. The main goal of this article is to investigate the methods proposed in the field of automatic detection of driver distraction factors using machine vision techniques and deep learning. Additionally, novel web-based methods can be utilized in driver distraction detection systems with the aim of improving safety and preventing traffic accidents.

کلیدواژه ها:

Machine vision ، image processing ، deep learning ، Driver Distraction ، Web-based Detection