G. Khekare, Shrutika Verma, Samay Sur, R. Haldkar, Pratik Moon
{"title":"Design of Fruit Segregation and Packaging Machine","authors":"G. Khekare, Shrutika Verma, Samay Sur, R. Haldkar, Pratik Moon","doi":"10.1109/ComPE49325.2020.9199986","DOIUrl":null,"url":null,"abstract":"In the agricultural sector, automation being the fundamental property, it increases and improves the standard, broadening, and efficiency of manufacturing goods. The quality of evaluation affected due to improving the sorting of goods. As sorting is one of the most important industry challenges, a reliable sorting method is needed so it became easy to package the goods automatically. Property used in this process is preprocessing, thresholding, segmentation, extraction, classification, and detection. With the help of training and testing images, the machine will identify the goods based on its color, texture, shape, and defects. Thus, this process will lead to a better quality of the image which will help further for packaging the goods in industries. The use of raspberry pi along with the counter sensor and flapper mechanism, the process of automated packaging will improve the quality of results in a better way than before.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"5 1","pages":"709-714"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE49325.2020.9199986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In the agricultural sector, automation being the fundamental property, it increases and improves the standard, broadening, and efficiency of manufacturing goods. The quality of evaluation affected due to improving the sorting of goods. As sorting is one of the most important industry challenges, a reliable sorting method is needed so it became easy to package the goods automatically. Property used in this process is preprocessing, thresholding, segmentation, extraction, classification, and detection. With the help of training and testing images, the machine will identify the goods based on its color, texture, shape, and defects. Thus, this process will lead to a better quality of the image which will help further for packaging the goods in industries. The use of raspberry pi along with the counter sensor and flapper mechanism, the process of automated packaging will improve the quality of results in a better way than before.