Automatic Sorting Conveyor with Machine Vision for Agriculture and Industrial Applications
Keywords:Sorting, Product Quality, Classification, Sorting Conveyor
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.
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Copyright (c) 2021 Abhishek A. S, Akash Satheesan, Basil Sunny, Paul T. Sunny, Eldhose Kurian
This work is licensed under a Creative Commons Attribution 4.0 International License.