Feature extraction algorithm for fill level and cap inspection in bottling machine

Leila Yazdi, Anton Satria Prabuwono, Ehsan Golkar

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

    21 Citations (Scopus)

    Abstract

    Automated Visual Inspection Systems (AVIS) have a strong ability to improve bottle manufacturing quality control by means of inspecting products automatically instead of through manual inspections. AVIS automatically tends to make a suitable decision in process and results classification according to the images of the products via image processing and Artificial Intelligence techniques. Since bottling is one of the most common packaging styles in the food and medical industries, in this paper we will concentrate on the visual inspection of bottles. Checking the quality of the cap closure and over-filling/under-filling checks for the level of the liquid in the bottle have been investigated to reach an optimized bottle product. Therefore, in this research general hardware and modules for these systems are investigated. Besides, new techniques of bottle inspection are reviewed along with presenting previous work of other researchers. Subsequently we will propose a feature extraction algorithm to inspect cap closure and level of the liquid in the bottle together, in the same system. According to the new proposed method, our system classifies three situations for cap condition and three situations for the condition of the level of the liquid. As a result the system has investigated 9 situations. The algorithm of the system will accept its system when the liquid level is in the correct position and the cap is in the normal condition. Other situations will be rejected. The proper algorithm which is proposed here using bottle visual inspection techniques leads our system to reach an optimized liquid level with a high quality of the cap closure.

    Original languageEnglish
    Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
    Pages47-52
    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

    Bottles
    Feature extraction
    Container closures
    Inspection
    Liquids
    Artificial intelligence
    Quality control
    Packaging
    Image processing
    Hardware
    Industry

    Keywords

    • bottle inspection
    • cap closure
    • Feature extraction
    • level of content detection

    ASJC Scopus subject areas

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

    Cite this

    Yazdi, L., Prabuwono, A. S., & Golkar, E. (2011). Feature extraction algorithm for fill level and cap inspection in bottling machine. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 47-52). [5976910] https://doi.org/10.1109/ICPAIR.2011.5976910

    Feature extraction algorithm for fill level and cap inspection in bottling machine. / Yazdi, Leila; Prabuwono, Anton Satria; Golkar, Ehsan.

    Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 47-52 5976910.

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

    Yazdi, L, Prabuwono, AS & Golkar, E 2011, Feature extraction algorithm for fill level and cap inspection in bottling machine. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976910, pp. 47-52, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976910
    Yazdi L, Prabuwono AS, Golkar E. Feature extraction algorithm for fill level and cap inspection in bottling machine. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 47-52. 5976910 https://doi.org/10.1109/ICPAIR.2011.5976910
    Yazdi, Leila ; Prabuwono, Anton Satria ; Golkar, Ehsan. / Feature extraction algorithm for fill level and cap inspection in bottling machine. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 47-52
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