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Integrating Image Processing for Enhanced Examination of Electronics and 3D Printed Structures

Obrocea, Matei (2024) Integrating Image Processing for Enhanced Examination of Electronics and 3D Printed Structures.

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Abstract:Manual inspection of samples frequently lacks the clarity needed for detailed analysis, highlighting the necessity for advanced software techniques. This work concerns the development of the software for a modular, cost-effective microscope meant for inspecting electronics and 3D-printed structures. The foundation of this setup is based on open-source electronics, specifically a Raspberry Pi board and its corresponding high-quality camera module. The software aims to improve image clarity through the dynamic adjustment of various image attributes, such as contrast or saturation. Additionally, the microscope includes extra functionality beyond manual inspection, specifically the integration of a technique called Reflectance Transformation Imaging to provide detailed surface information. Lastly, the software prioritises user friendliness through a clear graphical user interface designed for the control of the microscope. This approach ensures an enhanced and detailed examination process by addressing the limitations of manual optical inspection. Through the use of open source electronics, this work is built upon the foundations of the maker movement.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:https://purl.utwente.nl/essays/100815
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