Human Trap Detection using Convolution Neural Networks

Abstract

Natural calamities are the most common causes of disasters in different parts of the world, they can be either man-made, such as terrorist attacks, or natural (wildfires, landslides, floods, earthquakes etc.). India, as a country located on the seismic zone and the intertropical convergent point has been subjected to a variety of natural disasters, resulting in property damage, economic damage, and loss of life. This disaster creates a situation in which basic services must be provided to victims. Many people are dying in these disasters because they do not receive help immediately or later. This article proposes an intelligent robot by using wireless sensor networks to find human traps and automatically rescue them using Convolutional Neural Networks (CNN).