Safety Assistance System Using Convolutional Neural Networks

Abstract

The aim of this paper is to create a safety assistance system for a vehicle that is able to recognize dangerous situations while driving using the front camera. In addition to the detection of these events, the system is able to warn the driver using sound and visual effects to prevent a possible accident. The main principle of the work consists of creating and training a convolutional neural network that will be able to detect a set group of objects in images, videos or camera images captured in real time and to visualize these objects in the created application.