Question

Write the complete conclusion of Drowsiness detection of driver using Deep Neural Networks

Answer 1

We all know that Drowsiness is a major reason to occur accidents. So in order to prevent vehicles, we have to use a drowsiness detection system such that drivers can be warned when he felt Drowsiness. Deep neural networks have one of the best advantages is to detect drowsy and alert states. We can use deep learning algorithms in such a way that it can detect but we have to train the data sets so using functional near-infrared spectroscopy for brain-computer interface. It means using this algorithm makes detection of the human brain using a computer so it can detect by the movement of neurons and it alerts the driver so we can avoid crashes. Using Convolutional neural networks gives more accuracy to the brain-computer interface.