Automated visual inspection for metal parts based on morphology and fuzzy rules

Haider Sh Hashim, Siti Norul Huda Sheikh Abdullah, Anton Satria Prabuwono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Automated visual inspection system (AVIS) is a method of analyzing, classifying, detection defects for products at the production line. Usually, this inspection is either conducted by human, machine or both. In this paper, we explain an algorithm that capable to classify mechanical products in real time. The system is consists of two parts: hardware and software. The algorithm used the web-camera attaching to an adjustable arm to capture various image. Our main objective is to develop an image processing algorithm and fuzzy reasoning that can compute both the area and circularity of mechanical shapes and hence classify them according to their categories. The result shows the accuracy of classification is 80.5 % for group classification and 98% for individual classification of mechanical parts.

Original languageEnglish
Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages527-531
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur
Duration: 5 Dec 20107 Dec 2010

Other

Other2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
CityKuala Lumpur
Period5/12/107/12/10

Fingerprint

Fuzzy rules
Inspection
Metals
Image processing
Cameras
Hardware

Keywords

  • Fuzzy rules
  • Mathematical morphology
  • Metal part
  • Visual inspection

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Hashim, H. S., Sheikh Abdullah, S. N. H., & Prabuwono, A. S. (2010). Automated visual inspection for metal parts based on morphology and fuzzy rules. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics (pp. 527-531). [5735137] https://doi.org/10.1109/ICCAIE.2010.5735137

Automated visual inspection for metal parts based on morphology and fuzzy rules. / Hashim, Haider Sh; Sheikh Abdullah, Siti Norul Huda; Prabuwono, Anton Satria.

ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 527-531 5735137.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hashim, HS, Sheikh Abdullah, SNH & Prabuwono, AS 2010, Automated visual inspection for metal parts based on morphology and fuzzy rules. in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics., 5735137, pp. 527-531, 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, Kuala Lumpur, 5/12/10. https://doi.org/10.1109/ICCAIE.2010.5735137
Hashim HS, Sheikh Abdullah SNH, Prabuwono AS. Automated visual inspection for metal parts based on morphology and fuzzy rules. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 527-531. 5735137 https://doi.org/10.1109/ICCAIE.2010.5735137
Hashim, Haider Sh ; Sheikh Abdullah, Siti Norul Huda ; Prabuwono, Anton Satria. / Automated visual inspection for metal parts based on morphology and fuzzy rules. ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. pp. 527-531
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