{"title":"Image processing hardware for counting massive object streams","authors":"P. Jonker, J. J. Gerbrands","doi":"10.1109/ICPR.1992.202124","DOIUrl":null,"url":null,"abstract":"A real-time pipelined image processing system operating in a time division multiplexing mode to serve up to 16 cameras, was realized to count the mass of a flow of bottles on a conveyor belt. The realized mass counting system proved to be a powerful tool capable of continuously counting bottles with a speed of approximately 500000 bottles a day per measurement point and with an accuracy of less then 0.5%.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.202124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1
Abstract
A real-time pipelined image processing system operating in a time division multiplexing mode to serve up to 16 cameras, was realized to count the mass of a flow of bottles on a conveyor belt. The realized mass counting system proved to be a powerful tool capable of continuously counting bottles with a speed of approximately 500000 bottles a day per measurement point and with an accuracy of less then 0.5%.<>