ENHANCED WEAPON DETECTION AND FACIAL RECOGNITION USING YOLOV8

The provided implementation code integrates several computer vision and machine learning techniques to analyze after detecting the presence of persons and weapons in an image, utilizing pose estimation to further assess the relationship between detected persons and objects. It employs convolutional neural networks (CNNs), specifically a custom model for person detection, YOLOv8 (You Only Look Once version 8) for weapon detection. Then pose estimation is performed using the Media Pipe library, which helps in identifying human poses by locating key points on the person's figure depicted in the image.