Real-Time Weapon Recognition System using Yolov8

G. Blessy, K. Uday Kiran Reddy, S. Rohith Reddy, Mrs. N. Mounika
UG Scholar Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India
Assistant Professor, Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India

ABSTRACT:In the past few years, the rise of criminal activities related to weapons is posing a major threat to the safety of people. Conventional surveillance systems depend on manual observation of the monitored areas, which is not only time-consuming but also leads to errors due to human involvement. This paper proposes a weapon recognition system based on the YOLO algorithm for the real-time recognition of weapons such as guns and knives. The proposed system is based on deep learning and image processing techniques for the accurate and timely recognition of weapons. The proposed system is implemented using programming languages such as Python and OpenCV along with pre-trained YOLO models. The proposed system is highly accurate and faster compared to conventional systems and can be used in public areas such as airports, schools, and shopping complexes to prevent criminal activities. Index Terms— Weapon Detection, YOLO, Deep Learning, Computer Vision, Surveillance.