This thesis was conducted to provide an automated method for characterization of printed electronics. The work was built on a multi-axis milling machine. Further, the machine was modified by replacing the milling-tool with an installment utilizing electrical probing. Different measurement techniques, machine vision applications, and software solutions were evaluated and utilized. All the revolving functionalities of this project was then merged into a complete system, controlled by a graphical user interface. The resulting system was capable of autonomously characterize a given number of components on a printed sheet. The final version of the system is capable of finding the origin of the sheet by using machine vision and fiducial markers.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-150139 |
| Date | January 2018 |
| Creators | Magnusson, Elias, Svensson, Samuel |
| Publisher | Linköpings universitet, Fysik och elektroteknik, Linköpings universitet, Tekniska fakulteten, Linköpings universitet, Fysik och elektroteknik, Linköpings universitet, Tekniska fakulteten |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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