- 7 August 2018 17:24
Driver Drowsiness Detection System Market: An Excellent Answer To A Highly Demanding Market
Sleepiness is a state of sleep caused by fatigue. Today, drivers refrain from taking regular breaks while driving long distances and increase the risk of traffic accidents. The driver drowsiness detection system prevents accidents by warning the driver whenever he finds signs of drowsiness through eye detection. A small monochrome security camera pointing towards the driver's face, monitor the driver's eyes to detect fatigue. If fatigue is detected, a warning signal is issued to warn the driver. Drowsiness affects mental agility, sleep deprivation, and drug use.
Changes in lifestyle, increased incidence of sleeping disorders, and increased consumer emphasis on driver safety are key drivers for the growth of the global driver drowsiness detection system market. In addition, the factors driving growth in the global driver drowsiness detection system market are improvements in easy-to-use driver drowsiness detection systems, increased demand for automotive safety, and stringent government regulations.
But the high cost of a driver drowsiness detection system is hampering the growth of the global driver drowsiness detection system market. In addition, complex installation procedures for driver drowsiness detection systems are also a key factor in curbing the growth of the global driver drowsiness detection system market during the forecast period.
The trend in the global driver drowsy detection system market is prominent OEMs and MROs who have developed advanced detection technologies for motorists. Panasonic Corporation has developed a drowsiness control technology that detects and predicts the level of drowsiness of an individual so that they can awake comfortably while driving. In addition, Mercedes-Benz has developed an innovative ATTENTION ASSIST system that detects when the driver is asleep and allows them to take a break before it's too late. Attention assist observes driver behavior and generates individual driver profiles that are consistently compared to current sensor data every time a trip is initiated.