Automatic Sorting Conveyor with Machine Vision for Agriculture and Industrial Applications

Abstract

We know that to export a product or achieve higher quality packing manual sorting is sometimes very inefficient. Machine vision has progressed drastically over the years and has allowed for faster classification of objects without increasing costs. As such, our paper presents the use of an automated conveyor with sensors which classifies the given product based on shape, color, weight and other characteristics. In the paper we use machine vision and various sensors to classify defective products from non-defective. We hope to find the actual feasibility of the system from collecting the dataset, training the dataset and implementing the full system in an actual test case.