Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/172327
DC Field | Value | |
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dc.title | AUTOMATED VISUAL INSPECTION OF PRINTED CIRCUIT BOARDS | |
dc.contributor.author | ASHBOLLAH ABDUL AZIZ | |
dc.date.accessioned | 2020-08-11T10:12:01Z | |
dc.date.available | 2020-08-11T10:12:01Z | |
dc.date.issued | 1997 | |
dc.identifier.citation | ASHBOLLAH ABDUL AZIZ (1997). AUTOMATED VISUAL INSPECTION OF PRINTED CIRCUIT BOARDS. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/172327 | |
dc.description.abstract | In this project, an automated visual inspection system is built to inspect printed circuit boards for circuit line defects. The inspection algorithm employed is based on the principle of connectivity-preserved shrinking (CPS). The image of a sample printed circuit board is first scanned using a single-line camera and stored in memory, The image is initially processed using thresholding and filtering techniques to obtain a "clean" binary image for inspection. It is then inspected to detect defects in the circuit lines, The processing hardware consists of an Alpha microprocessor (running at 300 MHz) and a host PC. The entire process from printed circuit board scanning to output image takes about 8 seconds. | |
dc.source | CCK BATCHLOAD 20200814 | |
dc.type | Thesis | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.contributor.supervisor | YE QIN ZHONG | |
dc.contributor.supervisor | ONG SIM HENG | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF ENGINEERING | |
Appears in Collections: | Master's Theses (Restricted) |
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