ISSN (E): 2305-9249
ISSN (P): 2305-9494
Vehicle drivers lose their focus when fall sleepy which causes very dangerous accidents because the drivers do not even try to avoid the accident. In many cases, these accidents are killing. Therefore, many automobile companies tried to help in detecting drowsy drivers and alert them before they commit accidents. In this paper, we are going to develop a Drowsy Driver Safety System prototype to watch the driver, and generate an audio alarm when the driver is detected as drowsy. This audio alarm helps keeping the driver in contact to avoid any consequences.
There exist several drowsy detection systems. Most of them focus on detecting drowsiness using techniques such as steering behavior, lane tracking, eye detection, yawning state or a combination of them. In this paper, we also track the driver eye which is similar to some others. But, we are suggesting new techniques like driver's hand tension, which is also a considerable feature for drowsiness detection. We also use a supplementary technique based on the relationship between the speed and the drift angle of the car to detect drowsy divers.
Keywords:
Drowsy driver, driver sleepiness, Drowsy driver safety system prototype
Citations:
Ramzi, Saifan (2016); Proactive Driver Alert System (PDAS) for Drowsy Drivers; Journal of Social Sciences (COES&RJ-JSS), Vol.5, No.1, pp: 42-55; https://doi.org/10.25255/jss.2016.5.1.42.55.
