Suspect and Weapon Identification System

Abstract

For various security purposes, it is necessary nowadays to find a suspect and identify weapons. Face recognition and object detection plays an important role in today’s technology era and development in the field of image processing has been exponentially increasing. In this project, a model is proposed for suspect and weapon identification by using face recognition algorithm (Deep Learning Model) and object detection algorithm (You Only Look Once (YOLO)). An alert will be generated after the suspect is identified. The server contains a database of all known persons, weapons and supports the video feed from camera. This model is based on image processing it compares the live image with existing trained images of the person and weapon. Since the model recognizes a person on the basis of human unique feature that is face and identify weapon on the base of object detection algorithm.