June 12, 2018

Drowsiness Detection: a Market on the Rise

by tpcoto in Xesol Biometrics

Driver drowsiness is one of the most important factors that drive vehicle accident statistics. In the Road Safety Report 2017, recently published by the Spanish DGT (General Direction of Traffic), it is shown that driver distraction is the primary cause of accidents and drowsiness (or tiredness) comes in as third.

The change in sleep cycles and the use of medicine are the main reasons behind the increase of a driver’s stress, fatigue and drowsiness while driving.

The most effective way to detect drowsiness while driving is by observing the driver’s face with a monitoring system. This type of system analyzes the physical and mental condition of a driver in real time through facial image processing. The driver’s state can be detected through the closing of the eye lids, blinking, gaze direction, yawning and head movements.

The growing demand for automobile safety and more regulations being put in place by a growing number of countries has encouraged the evolution of the driver monitoring system to detect drowsiness and strengthen the ability to alert drivers of possible dangers and imminent dangers in a timely fashion.

According to the report, Drowsiness Monitors: A Global Strategic Business, published in January 2015, it is predicted that the drowsiness detection system market will be valued at 1,100 million dollars in 2020.

North America and Europe are not only known for their high acceptance rate of new technology, but also for their strict governmental regulations regarding road safety. Furthermore, due to the leadership of automobile manufacturers, there is a high demand for driver assistance systems in these two regions. Additionally, the Asia-Pacific region will experience growth in the driver assistance system market in the next five years due to the growing demand of vehicles.

In short, the high demand over the last few years has fostered the continuous technological innovation to offer consumers the best security systems to prevent road risks and dangers.