Deformation Detection and Classification system for Car parts Products Using Image Processing Algorithms

Sensitive products deformation marking, and detection projects are becoming more interests in quality control management and widely used in automated industrial sensitive products production. The manual inspection by the workers for the sensitive industrial products is still taking long time and is...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-05, Vol.518 (4), p.42006
Main Authors: AL-Yoonus, Murthad, Yaseen, Aqeel Adel, Al-Dabagh, Mustafa Zuhaer Nayef
Format: Article
Language:English
Subjects:
Algorithms
Automatic control
Automation
Automotive parts
Decision making
Deformation
Image classification
Image processing
Inspection
Marking
Quality control
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Summary:Sensitive products deformation marking, and detection projects are becoming more interests in quality control management and widely used in automated industrial sensitive products production. The manual inspection by the workers for the sensitive industrial products is still taking long time and is not accurate and supportive enough for high quality control, automated deformations marking and detection by using image processing algorithms can increase highly the accuracy of detection for the defects in the products. In this paper, automated deformation detection and classification system based on some steps of image processing. Decision-making is made based on the percentage of deformations detection that aids for accept or reject the final car part product shape before deliver to users. In this work, the results were accurate to detecting the mismatching in industrial products for many cases. Automated deformations detections aid for better decision making to accepting or rejecting the products.
ISSN:1757-8981
1757-899X
1757-899X
DOI:10.1088/1757-899X/518/4/042006