Lemon Grading and Sorting Using Computer Vision

Talha Mukhtar, Sunil Jamil, Usman Arif, Waleed Razzaq, Muhammad Wasif
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引用次数: 2

Abstract

This paper presents an automatic system for sorting and grading lemons using computer vision. It eliminates human errors in sorting processes. Lemons are sorted into three categories; ripe, semi-ripe, and a combined class of defective and unripe. A camera is used to capture an image of the lemon, and image analysis is done using Raspberry Pi. A conveyor belt system and a mechanical pusher put the lemon into its respective class.
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利用计算机视觉对柠檬进行分级和分拣
本文介绍了一种基于计算机视觉的柠檬自动分类分级系统。它消除了排序过程中的人为错误。柠檬分为三类;成熟的,半成熟的,有缺陷的和未成熟的一类。使用相机捕捉柠檬的图像,并使用树莓派完成图像分析。传送带系统和机械推手将柠檬放入各自的类别中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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