Real-Time Detection of Knives and Firearms using Deep Learning

Abstract

Daily gun and knife related incidents are increasing due to lack of security check. In most of the places CCTV cameras are being installed however they require surveillance all the time. It is difficult due to limitations of humans in vigilant monitoring of the surveillance videos. The need of automated weapon detection is evident to limit and reduce these types of incidents. The proposed approach is mainly focused on developing an automated weapon detection system to detect different types of firearms and knives. In order to detect these types of incidents, we used a YOLOv5 deep learning model on a self collected dataset. The evaluation of the proposed approach shows its ability in the accurate detection of these weapons with an F1 score of 0.95 in CCTV video.