Armament Detection Using Deep Learning

Abstract

In the recent past there has been an increase in the occurrence of violent incidents involving dangerous objects such as arms and knives. Being able to quickly identify and defuse such situations are of utmost importance in order to preserve peace and to avoid human casualties. One of the most important and commonly used methods to increase security is the usage of surveillance cameras almost everywhere. The benefit of object detection techniques can be used in this field in order to help improve security. Using object detection techniques in order to detect objects of interest in surveillance footage is one method to identify dangerous situations and take necessary steps in order to minimise any damages.This paper uses convolutional neural network (CNN) based YOLO algorithm in its implementation to detect weapons such as knives and pistols