Show simple item record

dc.contributor.advisorKlette, Reinhard
dc.contributor.authorButters, Luke Rhodes
dc.date.accessioned2019-08-11T23:57:19Z
dc.date.available2019-08-11T23:57:19Z
dc.date.copyright2019
dc.identifier.urihttp://hdl.handle.net/10292/12729
dc.description.abstractThe thesis presents a system to automate a manual/repeatable process in an Auckland, New Zealand manufacturing facility using predominantly machine vision techniques. An overview of the research \cite{BUT2019} has been accepted into The 2nd International Conference on Control and Computer Vision (ICCCV 2019). A manual/repeatable process has previously been required in the production of zinc die cast products. Where a worker stands at the end of a conveyor and picks up incoming die cast outputs for processing. To automate the process, a machine vision proof of concept was developed including four elements. The proposed system decides whether the incoming die cast objects are face up or down on the conveyor, determines the robot pick location and object orientation and conducts a quality control measure to check whether the correct cast is in production. The proposed system was successfully capable of checking the cast face, determining the robot pick location and orientation along with checking for error for a set of four die cast samples provided by the company. In some cases, small levels of error were corrected for using post vision manufacturing processes including mechanical nests and custom built robot gripping tools.en_NZ
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.subjectComputer visionen_NZ
dc.subjectImage analysisen_NZ
dc.subjectIndustrialen_NZ
dc.subjectAutomationen_NZ
dc.subjectRoboticsen_NZ
dc.titleDevelopment of a Machine Vision System to Localise a Zinc Die Cast Producten_NZ
dc.typeThesisen_NZ
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelMasters Theses
thesis.degree.nameMaster of Engineeringen_NZ
dc.rights.accessrightsOpenAccess
dc.date.updated2019-08-11T06:20:36Z


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record