Accident Detection using Convolutional Neural Networks

Abstract

Accidents have been a major cause of deaths
in India. More than 80% of accident-related deaths
occur not due to the accident itself but the lack of timely
help reaching the accident victims. In highways where
the traffic is really light and fast-paced an accident
victim could be left unattended for a long time. The
intent is to create a system which would detect an
accident based on the live feed of video from a CCTV
camera installed on a highway. The idea is to take each
frame of a video and run it through a deep learning
convolution neural network model which has been
trained to classify frames of a video into accident or
non-accident. Convolutional Neural Networks has
proven to be a fast and accurate approach to classify
images. CNN based image classifiers have given
accuracy’s of more than 95% for comparatively smaller
datasets and require less preprocessing as compared to
other image classifying algorithms.