The fourth industrial revolution brings the capability of manufacturer to improve efficiency in quality control. Enhanced technology of computer and camera enables automatic visual inspection to fully replace human task in quality control. A quality control of container is examined by using automatic visual inspection to determine the defected container based on defected criteria. The challenge of visual inspection is inconsistency in image acquisition due to lighting, inconsistent adjustment position, or mechanic speed in both camera and container object. A system of automatic visual inspection is designed to cope with image consistency using match pattern reference coordinate. The coordinate is used as an anchor point to make measurement algorithm in container image feature. The result shows that using reference coordinate minimize probability of false alarm up to 0.5%. It has tradeoff in increased computational complexity which occupies up to 63% of overall execution speed.
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12 May 2023
PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL, MECHANICAL, ELECTRICAL AND CHEMICAL ENGINEERING 2021 (ICIMECE 2021)
5 October 2021
Surakarta, Indonesia
Research Article|
May 12 2023
Detection of product container defect using automatic visual inspection: System design and performance evaluation
Muhammad Hamka Ibrahim;
Muhammad Hamka Ibrahim
a)
1
Department of Electrical Engineering, Faculty of Engineering, Sebelas Maret University Jl. Ir. Sutami 36 A
, Surakarta, Central Java, Indonesia
57126a)Corresponding author: hamka@staff.uns.ac.id
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Hari Maghfiroh;
Hari Maghfiroh
1
Department of Electrical Engineering, Faculty of Engineering, Sebelas Maret University Jl. Ir. Sutami 36 A
, Surakarta, Central Java, Indonesia
57126
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Agus Ramelan;
Agus Ramelan
1
Department of Electrical Engineering, Faculty of Engineering, Sebelas Maret University Jl. Ir. Sutami 36 A
, Surakarta, Central Java, Indonesia
57126
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Subuh Pramono;
Subuh Pramono
1
Department of Electrical Engineering, Faculty of Engineering, Sebelas Maret University Jl. Ir. Sutami 36 A
, Surakarta, Central Java, Indonesia
57126
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Cucuk Nur Rosyidi
Cucuk Nur Rosyidi
2
Department of Industrial Engineering, Faculty of Engineering, Sebelas Maret University Jl. Ir. Sutami 36 A
, Surakarta, Central Java, Indonesia
57126
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a)Corresponding author: hamka@staff.uns.ac.id
AIP Conf. Proc. 2674, 030056 (2023)
Citation
Muhammad Hamka Ibrahim, Hari Maghfiroh, Agus Ramelan, Subuh Pramono, Cucuk Nur Rosyidi; Detection of product container defect using automatic visual inspection: System design and performance evaluation. AIP Conf. Proc. 12 May 2023; 2674 (1): 030056. https://doi.org/10.1063/5.0115113
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