{"title":"基于AI机器视觉的烘箱白纸颜色分类及标签位置实时监控系统","authors":"Hee-Chul Kim, Youn-Saup Yoon, Yong-Mo Kim","doi":"10.31803/tg-20230220172540","DOIUrl":null,"url":null,"abstract":"We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.","PeriodicalId":43419,"journal":{"name":"TEHNICKI GLASNIK-TECHNICAL JOURNAL","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI Machine Vision based Oven White Paper ColorClassification and Label Position Real-time Monitoring System to Check Direction\",\"authors\":\"Hee-Chul Kim, Youn-Saup Yoon, Yong-Mo Kim\",\"doi\":\"10.31803/tg-20230220172540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.\",\"PeriodicalId\":43419,\"journal\":{\"name\":\"TEHNICKI GLASNIK-TECHNICAL JOURNAL\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TEHNICKI GLASNIK-TECHNICAL JOURNAL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31803/tg-20230220172540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TEHNICKI GLASNIK-TECHNICAL JOURNAL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31803/tg-20230220172540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
AI Machine Vision based Oven White Paper ColorClassification and Label Position Real-time Monitoring System to Check Direction
We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.