Weapon Detection For Security Using The Yolo Algorithm With Email Alert Notification
S. M. Keerthana, R Sujitha, P.Esai yazhini
Abstract
In recent years, the rapid increase in security threats has prompted the development of sophisticated surveillance systems. This paper introduces an innovative weapon detection system employing the state-of-the-art YOLOv8 algorithm for real-time object detection. The system seamlessly integrates user authentication to ensure secure access and control over its capabilities. The proposed system is designed to detect weapons in various scenarios, including images, videos, and live webcam streams. Leveraging the YOLOv8 model’s high accuracy and efficiency, the system identifies weapons with a confidence threshold, providing reliable results. The YOLOv8 model is trained to recognize a predefined set of weapon classes, enhancing its adaptability to different security contexts. To facilitate secure usage, the system incorporates user authentication mechanisms. Users can create accounts, log in, and securely access the weapon detection functionalities. Upon weapon detection, the system sends immediate alerts via email, enhancing the system’s responsiveness to security incidents. Additionally, an audible alert is triggered, enhancing the situational awareness of security personnel. The system’s versatility is demonstrated through three primary modes of operation: image, video, and live stream. Users can upload images or videos for analysis or utilize the system in real time through a webcam feed. This flexibility caters to diverse security applications, from forensic analysis to live surveillance scenarios. We achieved 94% accuracy when compared to other methods. In conclusion, the proposed Intelligent Weapon Detection System integrates cutting-edge computer vision technology with robust user authentication, offering a comprehensive solution for enhanced security. The system’s adaptability, efficiency, and security measures make it a valuable tool for various applications, including public safety, transportation security, and critical infrastructure protection.