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Development of computer vision system for glass particle inspection system

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Inspection system is one of the vital elements in every manufacturing process. This system is built maintain the same quality level of products. Due to the human weakness in manual inspection system, the automatic inspection system is created. This thesis addresses an automatic inspection system based on the computer vision technology designed for inspecting glass vials in PT. SIG, a pharmaceutical packaging manufacturer. The inspection system, using OMRON image processing system, is built to identify the glass particles in the vials with a range of vials diameters of 14 to 25 mm and vials total length of 23 to 62 mm. Several parameters, such as shutter speed and defect pixel value are tuned for the best performance of the inspection system. A model system based on OpenCV library is built for demonstration purpose to understand how image processing system works. OpenCV and cvBlobsLib are the main libraries used for developing the model software. The test result of the inspection system shows the ability of the system to detect glass particles starting from 0.5 mm2 sized particles and 100% repeatability result. The mechanical parts that modified in the assembly process need to be rebuilt for the future development.

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Availability

B01294

(wh)

Available

Detail Information

Series Title

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Call Number

1294

Publisher

: Swiss German University., 2013

Collation

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Language

English

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Classification

NONE

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Edition

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Subject(s)

MT

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