Talha Mukhtar, Sunil Jamil, Usman Arif, Waleed Razzaq, Muhammad Wasif
{"title":"利用计算机视觉对柠檬进行分级和分拣","authors":"Talha Mukhtar, Sunil Jamil, Usman Arif, Waleed Razzaq, Muhammad Wasif","doi":"10.3390/engproc2021012055","DOIUrl":null,"url":null,"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.","PeriodicalId":11748,"journal":{"name":"Engineering Proceedings","volume":"206 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Lemon Grading and Sorting Using Computer Vision\",\"authors\":\"Talha Mukhtar, Sunil Jamil, Usman Arif, Waleed Razzaq, Muhammad Wasif\",\"doi\":\"10.3390/engproc2021012055\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":11748,\"journal\":{\"name\":\"Engineering Proceedings\",\"volume\":\"206 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/engproc2021012055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/engproc2021012055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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