WEAPON DETECTION USING ARTIFICIAL INTELLEGENCE AND DEEP LEARNING FOR SECURITY APPLICATIONS
International Journal For Innovative Engineering and Management Research · 2022
Security is always a main concern in every domain, due to a rise in crime rate in a crowded event or suspicious lonely areas. In This project we implement automatic gun (or) weapon detection using a Convolution Neural Network (CNN) based SSD and Faster RCNN algorithms. Proposed implementation uses two types of datasets. One dataset, which had pre-labelled images and the other one is a set of images, which were labelled manually