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Design of a machine vision based faulty bead wire detection system

Delaere, Y. (2020) Design of a machine vision based faulty bead wire detection system.

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Abstract:Technological innovations are key to be ahead of your competitors in the tire manufacturing industry. This research proposes a prototype tire bead defect system, which can greatly reduce costs and wasted materials. Machine vision technology is utilized and expanded in the design and realization of a prototype of this system. Images of the tire beads are acquired using a Raspberry Pi based 2-camera system without adding an extra step in the production process. These images are rectified and fused into a top view image using a novel single image calibration approach. The width of the bead is measured using the generated top view image, and beads are classified based on this information. Existing technologies and methods are used in a smart way to construct a low budget solution. Initial results show the potential of the system and show areas where the system can be improved.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology, 54 computer science
Programme:Electrical Engineering MSc (60353)
Link to this item:http://purl.utwente.nl/essays/83586
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