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Development of a universal cell for optical part inspection in a robotic workplace
Cahlík, Radim ; Rajchl, Matej (oponent) ; Adámek, Roman (vedoucí práce)
The aim of this master's thesis is to develop a universal cell for optical part inspection including defects detection software that utilises artificial intelligence methods. Another goal is to integrate the cell into a robotic workplace and to test it on distinct parts with different defects. The first part of the thesis describes the development of the optical cell concept and its design. After that, the optical inspection system is covered, starting with a description of the lens and camera, followed by the analysis of the inspection software, which uses the convolutional neural network for defect detection. The next part deals with the development of a robotic workplace including the design of a two degrees of freedom robot and the communication between the devices. In the end, testing on two distinct parts to verify its functioning is discussed.

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