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Template based defect detection of flexible printed circuit
Zuliani Zulkoffli1, Elmi Abu Bakar2.
This study presented a research on machine vision inspection to define defects on
flexible printed circuit (FPC). The images were subjected to image processing system
where an elimination-subtraction method used. In this algorithm, 7 types of FPC defects
defined and simulated in the system using Specimen 1 and processing time taken for
both side inspection was 3.3s. Then, the commercial patent design of FPC was tested as
specimen 2 to define short circuit defects on it. The processing time taken by this
algorithm on specimen 2 was 0.28s. Comparison on manual inspection and machine
vision implementation were carried out and greatly resulted on shorten inspection time
to 59.7%. This result shows significant contribution in increasing the efficiency of FPC
inspection process.
Affiliation:
- Universiti Sains Malaysia, Malaysia
- Universiti Sains Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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