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Call for Papers:Vol.11 Issue.3

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Title: :  SURFACE DEFECT DETECTION WITH MACHINE LEARNING
PaperId: :  19324
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19324
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prema N SDepartment of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA
Shamitha RajDepartment of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA
Prashanth M V Department of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA
Scinchana S KumarDepartment of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA
Rinla C Mary Department of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA
Yashwanth S Department of Information Science Engineering Vidyavardhaka College of Engineering Mysuru,INDIA

Abstract

Computer Engineering
Surface Defect, Machine Learning, Classification, Random Forest, Convolution neural network.
A product's surface quality is its most important characteristic. Manual defect inspection is a laborious task in an industry. As a result, it is challenging to provide the certainty of an impeccable steel surface. Machine Learning based automatic surface investigation strategies have emerged as a highly effective and popular solution in recent years to suit customer requirements, speed up the inspection process, and increase the industry's overall efficiency. To overcome this issue, we used a conventional machine learning strategy. With the help of image preprocessing techniques, this project aims to improve the model's performance. It then trains and creates a machine learning model to segment and categorize faulty images using the features that were extracted. The NEU provided the input. The NEU surface defect database serves as the source of the input. Six different forms of flaws are included in this database: crazing, inclusion, patches, pitted surfaces, rolled-in scale, and scratches to divide and organize photos of defects.

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IJARIIE Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . "SURFACE DEFECT DETECTION WITH MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 92-96
MLA Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . "SURFACE DEFECT DETECTION WITH MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 92-96.
APA Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, & Yashwanth S . (2023). SURFACE DEFECT DETECTION WITH MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 92-96.
Chicago Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . "SURFACE DEFECT DETECTION WITH MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 92-96.
Oxford Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . 'SURFACE DEFECT DETECTION WITH MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 92-96. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SURFACE_DEFECT_DETECTION_WITH_MACHINE_LEARNING_ijariie19324.pdf (Accessed : 29 May 2024).
Harvard Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . (2023) 'SURFACE DEFECT DETECTION WITH MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 92-96IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SURFACE_DEFECT_DETECTION_WITH_MACHINE_LEARNING_ijariie19324.pdf (Accessed : 29 May 2024)
IEEE Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S , "SURFACE DEFECT DETECTION WITH MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 92-96, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/SURFACE_DEFECT_DETECTION_WITH_MACHINE_LEARNING_ijariie19324.pdf [Accessed : 29 May 2024].
Turabian Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . "SURFACE DEFECT DETECTION WITH MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 (29 May 2024).
Vancouver Prema N S, Shamitha Raj, Prashanth M V, Scinchana S Kumar, Rinla C Mary, and Yashwanth S . SURFACE DEFECT DETECTION WITH MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 29 May 2024]; 9(2) : 92-96. Available from: https://ijariie.com/AdminUploadPdf/SURFACE_DEFECT_DETECTION_WITH_MACHINE_LEARNING_ijariie19324.pdf
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