A Computer Vision-Based System for Metal Sheet Pick Counting
作者机构：School of Manufacturing Systems and Mechanical EngineeringSirindhorn International Institute of TechnologyThammasat University12120Pathum ThaniThailand
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2023年第75卷第5期
页 面：3643-3656页
核心收录：
学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学]
基 金：This work was jointly supported by the Excellent Research Graduate Scholarship-EreG Scholarship Program Under the Memorandum of Understanding between Thammasat University and National Science and Technology Development Agency(NSTDA),Thailand[No.MOU-CO-2562-8675] the Center of Excellence in Logistics and Supply Chain System Engineering and Technology(COE LogEn) Sirindhorn International Institute of Technology(SIIT) Thammasat University,Thailand
主 题：Computer vision manual operation operation monitoring material counting
摘 要：Inventory counting is crucial to manufacturing industries in terms of inventory management,production,and procurement *** companies currently require workers to manually count and track the status of materials,which are repetitive and non-value-added activities but incur significant costs to the companies as well as mental fatigue to the *** research aims to develop a computer vision system that can automate the material counting activity without applying any marker on the *** type of material of interest is metal sheet,whose shape is simple,a large rectangular shape,yet difficult to *** use of computer vision technology can reduce the costs incurred fromthe loss of high-value materials,eliminate repetitive work requirements for skilled labor,and reduce human error.A computer vision system is proposed and tested on a metal sheet picking process formultiple metal sheet stacks in the storage area by using one video *** results show that the proposed computer vision system can count the metal sheet picks under a real situation with a precision of 97.83%and a recall of 100%.
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