Compact disc visual inspection using neural network

Satria Prabuwono Anton, Rahayu Zulkipli Siti, Anggia Harahap Doli, Usino Wendi, A. Hasniaty

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

    Abstract

    Image processing is widely used in various fields of study including manufacturing as product inspection. In compact disc manufacturing, image processing has been implemented to recognize defect products. In this research, we implemented image processing technique as preprocessing processes. The aim is to acquire simple image to be processed and analyzed. In order to express the object from the image, the features were extracted using Invariant Moment (IM). Afterward, neural network was used to train the input from IM's results. Thus, decision can be made whether the compact disc is accepted or rejected based on the training. Two experiments have been done in this research to evaluate 40 datasets of good and defective images of compact discs. The result shows that accuracy rate increased and can identify the quality of compact discs based on neural network training.

    Original languageEnglish
    Title of host publicationAdvanced Materials Research
    Pages727-732
    Number of pages6
    Volume433-440
    DOIs
    Publication statusPublished - 2012
    Event2011 International Conference on Material Science and Information Technology, MSIT2011 - Singapore
    Duration: 16 Sep 201118 Sep 2011

    Publication series

    NameAdvanced Materials Research
    Volume433-440
    ISSN (Print)10226680

    Other

    Other2011 International Conference on Material Science and Information Technology, MSIT2011
    CitySingapore
    Period16/9/1118/9/11

    Fingerprint

    Inspection
    Neural networks
    Image processing
    Defects
    Experiments

    Keywords

    • Invariant moment
    • Neural network
    • Visual inspection

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Anton, S. P., Siti, R. Z., Doli, A. H., Wendi, U., & Hasniaty, A. (2012). Compact disc visual inspection using neural network. In Advanced Materials Research (Vol. 433-440, pp. 727-732). (Advanced Materials Research; Vol. 433-440). https://doi.org/10.4028/www.scientific.net/AMR.433-440.727

    Compact disc visual inspection using neural network. / Anton, Satria Prabuwono; Siti, Rahayu Zulkipli; Doli, Anggia Harahap; Wendi, Usino; Hasniaty, A.

    Advanced Materials Research. Vol. 433-440 2012. p. 727-732 (Advanced Materials Research; Vol. 433-440).

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

    Anton, SP, Siti, RZ, Doli, AH, Wendi, U & Hasniaty, A 2012, Compact disc visual inspection using neural network. in Advanced Materials Research. vol. 433-440, Advanced Materials Research, vol. 433-440, pp. 727-732, 2011 International Conference on Material Science and Information Technology, MSIT2011, Singapore, 16/9/11. https://doi.org/10.4028/www.scientific.net/AMR.433-440.727
    Anton SP, Siti RZ, Doli AH, Wendi U, Hasniaty A. Compact disc visual inspection using neural network. In Advanced Materials Research. Vol. 433-440. 2012. p. 727-732. (Advanced Materials Research). https://doi.org/10.4028/www.scientific.net/AMR.433-440.727
    Anton, Satria Prabuwono ; Siti, Rahayu Zulkipli ; Doli, Anggia Harahap ; Wendi, Usino ; Hasniaty, A. / Compact disc visual inspection using neural network. Advanced Materials Research. Vol. 433-440 2012. pp. 727-732 (Advanced Materials Research).
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