Lolo, Surriady and Schwung, Andreas and Rusyadi, Rusman (2019) Research on Tracking of Parcels Moving on Peristaltic Sortation Machine Via Image Processing. Bachelor thesis, Swiss German University.

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Abstract

Human have always been aiming for improvement in efficiency and productivity from time to time, and one of the efforts to achieve this goal is to improve in automation. Material handling and logistic in manufacturing and other industries, with their repetitive and idle process, are one of the process are few that receive this automation treatment. The aim to improve this field starts by the usage of conveyor and other semiautomated process to cut down the labour, whose efficiency is expected to be improved by this thesis project with the help of PSM and image processing.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Peristaltic Sortation Machine ; Object Tracking ; Blob Detection ; Image Processing ; Image Filtering
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General) T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Adityatama Ratangga
Date Deposited:	21 May 2020 15:39
Last Modified:	21 May 2020 15:39
URI:	http://repository.sgu.ac.id/id/eprint/695

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