{"title":"Development of oval-shaped agricultural product inspection and sorting system with simultaneous six-angle photograph taking","authors":"N. Nakatani, Yuhki Shiraishi, F. Takeda","doi":"10.5963/AMSA0203003","DOIUrl":null,"url":null,"abstract":"In the agricultural market, uniform appearance quality of products is becoming more important. In this paper, we propose a total surface inspection and sorting system of oval-shaped agricultural product for fully automated ranking operation under uniformed criteria. The system consists of conveyance part, image acquisition part, and classification part. The conveyance part uses sensor-driven independent driving system. In the image acquisition part, photographs of the object are taken from six different angles simultaneously. The classification part identifies the size, shape, and damage existence of the object. The experiment is performed using red peppers. This experiment is to confirm the effectiveness of conveyance and classification performance of the system and to make possible latent problems tangible.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5963/AMSA0203003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the agricultural market, uniform appearance quality of products is becoming more important. In this paper, we propose a total surface inspection and sorting system of oval-shaped agricultural product for fully automated ranking operation under uniformed criteria. The system consists of conveyance part, image acquisition part, and classification part. The conveyance part uses sensor-driven independent driving system. In the image acquisition part, photographs of the object are taken from six different angles simultaneously. The classification part identifies the size, shape, and damage existence of the object. The experiment is performed using red peppers. This experiment is to confirm the effectiveness of conveyance and classification performance of the system and to make possible latent problems tangible.