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Development of Identification System of cans And Bottle
[摘要] The objectives of this research was developed an integrated simulation model of an intelligent sorting system based on machine vision, which is focused on object detection, identification and automatic sorting system of cans and bottle. In this research we used 60 cans and 40 bottles for database with five direction of each sample (upper, bottom, diagonal left and right side). Performance of the identification system for correct cans and bottles are 91.33% with estimated amount of 21,600 items per hour. The success of the identification depends on the size and type of the objects.
[发布日期]  [发布机构] Mechanical Engineering Department, Faculty of Engineering, Sriwijaya University, Indonesia^1
[效力级别] 化学 [学科分类] 
[关键词] Automatic sorting systems;Integrated simulation models;On-machines;Sorting system [时效性] 
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