Recognition of bolt and nut using artificial neural network

Teuku Muhammad Johan, Anton Satria Prabuwono

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

    1 Citation (Scopus)

    Abstract

    This paper focuses on the recognition system of bolt and nut in real time for application in various industries, particularly the automotive industry. The objective of this study is to develop the image processing algorithm to get the normalized cropping images which would be suitable inputs for the learning process using Backpropagation Neural Network. Testing is done using a real-time visual recognition system. The Matlab software version 7.6 is used to integrate all algorithms, whereas the stepper motor differentiates the final result of bolt and nut in separate places. The result shows that the system can detect moving object accurately on the belt conveyor at a speed of 9 cm/sec. with an accuracy 92 %.

    Original languageEnglish
    Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
    Pages165-170
    Number of pages6
    Volume1
    DOIs
    Publication statusPublished - 2011
    Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
    Duration: 28 Jun 201129 Jun 2011

    Other

    Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
    CityPutrajaya
    Period28/6/1129/6/11

    Fingerprint

    Nuts (fasteners)
    Bolts
    Neural networks
    Backpropagation
    Automotive industry
    Image processing
    Testing
    Industry

    Keywords

    • artificial neural network
    • bolt and nut
    • Pattern recognition

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction

    Cite this

    Johan, T. M., & Prabuwono, A. S. (2011). Recognition of bolt and nut using artificial neural network. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 165-170). [5976889] https://doi.org/10.1109/ICPAIR.2011.5976889

    Recognition of bolt and nut using artificial neural network. / Johan, Teuku Muhammad; Prabuwono, Anton Satria.

    Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 165-170 5976889.

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

    Johan, TM & Prabuwono, AS 2011, Recognition of bolt and nut using artificial neural network. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976889, pp. 165-170, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976889
    Johan TM, Prabuwono AS. Recognition of bolt and nut using artificial neural network. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 165-170. 5976889 https://doi.org/10.1109/ICPAIR.2011.5976889
    Johan, Teuku Muhammad ; Prabuwono, Anton Satria. / Recognition of bolt and nut using artificial neural network. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 165-170
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