Drowsiness is a common problem that many drivers encounter due to long working hours, lack of sleep, and tiredness. .
This is a natural phenomenon in the human body that causes distraction and affects the lives of road users. As long as the person is awake during driving the vehicle it really does not work functionally.if you wants to look how a drowsiness deteccting sensor looks alike.
Face detection is one of the most widely used computer vision applications and a fundamental problem in computer vision and pattern recognition. In the last decade, multiple face feature detection methods have been introduced. However, it is only recently that the success of deep learning and convolutional neural networks (CNN) achieved great results in the development of highly-accurate face detection solutions.
Eye detection is an active research area in machine vision and a major step in many applications such as intelligent human–machine interaction, driver behavior analysis, human identity verification, security control, and handicap-aiding interfaces. In this paper, we apply sparse representation algorithm to the problem of human eye detection in still color images. Considering the eye detection task as a pixel-wise classification problem, we use our framework to discriminate “patches centered on a pixel located on eye” against “patches centered on a pixel located elsewhere”
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. Some of the current systems learn driver patterns and can detect when a driver is becoming drowsy..
In everyday cases more than 10 people out of 100 lose their lives in road accidents as thee reason of drowsiness. The biggest mistake that most of people do while they drive is that they do not think about seatbelts which increases the rate of accidents when it mixes up with drowsiness in the vehicle. Drowsy driving is a dangerous but common side effect of long-term driving. In 2021, The Zebra launched a nationwide survey to identify how 1,500 Americans are affected by sleep while driving and their general awareness of its danger.