Question

Driver's drowsiness detection using Deep Neural Networks. How it is going to impact our society ? contribution towards society ?

Answer 1

Driver's status is crucial because one of the main reasons for motor vehicular accidents is related to driver's inattention or drowsiness. A drowsiness detector on a car can reduce numerous accidents. Accidents occur because of a single moment of negligence, thus driver monitoring system which works in real-time is necessary.

Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traffic injuries resulted in approximately 1.25 million deaths worldwide, i.e. approximately every 25 seconds an individual will experience a fatal crash. While the cost of traffic accidents in Europe is estimated at around 160 billion Euros, driver drowsiness accounts for approximately 100,000 accidents per year in the United States alone as reported by The American National Highway Traffic Safety Administration (NHTSA).

It is a complex phenomenon to measure a driver’s consciousness in a direct manner. Many algorithms are to be used teffectively so that real time detectection is possible and can be deployed on cheap embedded devices in vehicles, such as the Raspberry Pi 3 or a mobile smartphone.

Novel deep learning methodology based on Convolutional Neural Networks (CNN) to tackle this problem have been developed. The proposed methodology treats drowsiness detection as an object detection task, and from an incoming video stream of a driver, detects and localizes open and closed eyes.

PLease Please do rate it would be very helpful for us.