AI Based Product Sorting System

This project presents a deep learning-based image processing system for product sorting applications. A real-time camera captures images of various products, including candies, chocolates, chairs, and mobile phones. The system processes these images using deep learning algorithms to detect and identify components within the frame. Each detected component is labeled with its name, and bounding boxes are drawn to highlight their positions. A user-friendly web interface displays the real-time camera feed along with detection results, ensuring an interactive and informative experience. The system’s architecture prioritizes accuracy and efficiency, optimizing detection reliability across diverse product categories