AI Based Product Sorting System

AI Based Product Sorting  System

Ms.Nishigandha N.Shevkar, Rohit Dhage , Chetan shewale , Kartik Nikam, Yash Kapase

1. Ms.Nishigandha N.Shevkar, lecturer, Computer Engineering, Mahavir Polytechnic, Nashik

2.Mr. Rohit Dhage, Student, Information technology, Mahavir Polytechnic, Nashik

3.Mr. Chetan shewale , Student, Information technology, Mahavir Polytechnic, Nashik

4.Mr. kartik Nikam, Student, Information technology, Mahavir Polytechnic, Nashik

5.Mr.Yash Kapase, Student , Information technology, Mahavir Polytechnic, Nashik

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Abstract – 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

Key Words: Deep Learning, Image Processing ,Object Detection ,Real-Time Camera ,Feed Bounding, Box Annotation Neural Networks, Product Classification ,Web Interface