How Machine Learning Technology Helps To Reduce Number Of Accidents by Analyzing Drowsiness, Yawns And Blinks:

Machine learning(i2tutorials.com)

The reason for about 25% of all serious accidents on the roads is driver Drowsiness and, as a consequence, falling asleep behind the wheel. The greatest risk of falling asleep is observed on long trips, especially at night and under monotonous road conditions. Practice shows that after four hours of continuous driving, the driver’s reaction is halved, after eight hours – six times.

Researchers at the Washington State University (WSU) have developed and tested the technology with a completely different approach – it constantly checks the position and movements of the steering wheel. Its advantages, in comparison with cameras and sensor sensors, according to the developers, are obvious.

“The video surveillance system is based on cameras that determine when a car is drifting in its lane or out of it, are cumbersome and expensive. They do not work very well on snowy roads and in corners, in darkness or in dim lines of road marking, especially when their absence, “says Professor Hans van Dongen, one of the technology developers.

Researchers believe that monitoring the style of movement of the steering wheel can detect obvious signs of drowsiness, in particular, whether he is going to leave his lane. They even wanted to use the word “predict”, but decided to postpone it before the system was tested and proved effective in real conditions.

Potential is there, but it’s too early to say anything concrete. True, the first tests and adjustments are encouraging. And once scientists decide that it is quite suitable for use on public roads, it can easily be installed as part of after-sales equipment or directly at the factory when assembling a new car.

The Drowsiness monitoring system monitors the physical condition of the driver and, if it detects certain abnormalities, warns the driver to stop and rest. Depending on the method of assessing driver Drowsiness, three types of systems are distinguished. The first are built to control the actions of the driver, the second – to control the movement of the car, the third – to control the look of the driver.

Mercedes-Benz in 2011, establishes a system on their cars the Attention Assist , which controls actions of the driver based on many factors: driving style, driving behavior, use of controls, the nature and conditions of movement and others.

The design of the Attention Assist system combines a steering wheel sensor, a control unit, an indicator light and a driver alert tone. The steering wheel sensor records the dynamics of the driver’s actions as the steering wheel rotates. In its operation, the system also uses the input signals to other vehicle systems, sensors: engine control , sideslip , night vision , the braking system .