  We propose a new deep learning based framework to identify pedestrians, and
caution distracted drivers, in an effort to prevent the loss of life and
property. This framework uses two Convolutional Neural Networks (CNN), one
which detects pedestrians and the second which predicts the onset of drowsiness
in a driver, is implemented on a Raspberry Pi 3 Model B+, shows great promise.
The algorithm for implementing such a low-cost, low-compute model is presented
and the results discussed.
