Measurement Strategies for Object Identification

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

    Abstract

    Advanced automation of industrial processes such as product handling, assembly and inspection requires further development of systems for the identification of objects involved in such processes. Various measurement methods for obtaining information about the identity of objects, based on the detection of features by which the objects can be characterised, are reviewed. Examples of such features are shape (or particular geometric properties) and material properties. The measurement of geometric features is performed by a colour camera, or the combination of a black-and-white camera and structured light. Material properties are detected by eddy current sensors. Most of these methods are illustrated with examples taken from a research project about the recognition of electronic components on PCB’s, for recycling purposes. Finally, some comments on the combination of sensor data (sensor fusion) to enhance the reliability of the identification process are given.
    Original languageEnglish
    Title of host publicationSensor technology in the Netherlands - state of the art
    Subtitle of host publicationproceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands
    EditorsA. van den Berg, P. Bergveld
    Place of PublicationDordrecht, The Netherlands
    PublisherKluwer Academic Publishers
    Pages1-10
    ISBN (Electronic)978-94-011-5010-1
    ISBN (Print)978-94-010-6103-2
    DOIs
    Publication statusPublished - 1998
    EventDutch Sensor Conference 1998: Sensor Technology in the Netherlands: State of the Art - University of Twente, Enschede, Netherlands
    Duration: 2 Mar 19983 Mar 1998

    Publication series

    NameMESA monographs
    PublisherKluwer Academic
    Volume2

    Conference

    ConferenceDutch Sensor Conference 1998
    CountryNetherlands
    CityEnschede
    Period2/03/983/03/98

    Fingerprint

    Materials properties
    Identification (control systems)
    Cameras
    Sensor data fusion
    Sensors
    Eddy currents
    Polychlorinated biphenyls
    Recycling
    Automation
    Inspection
    Color

    Keywords

    • Object recognition
    • Object identification
    • Computer vision
    • Machine vision
    • Eddy current

    Cite this

    Regtien, P. P. L. (1998). Measurement Strategies for Object Identification. In A. van den Berg, & P. Bergveld (Eds.), Sensor technology in the Netherlands - state of the art: proceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands (pp. 1-10). (MESA monographs; Vol. 2). Dordrecht, The Netherlands: Kluwer Academic Publishers. https://doi.org/10.1007/978-94-011-5010-1_1
    Regtien, Paul P.L. / Measurement Strategies for Object Identification. Sensor technology in the Netherlands - state of the art: proceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands. editor / A. van den Berg ; P. Bergveld. Dordrecht, The Netherlands : Kluwer Academic Publishers, 1998. pp. 1-10 (MESA monographs).
    @inproceedings{bc883974375b4be2893faf1d86663b26,
    title = "Measurement Strategies for Object Identification",
    abstract = "Advanced automation of industrial processes such as product handling, assembly and inspection requires further development of systems for the identification of objects involved in such processes. Various measurement methods for obtaining information about the identity of objects, based on the detection of features by which the objects can be characterised, are reviewed. Examples of such features are shape (or particular geometric properties) and material properties. The measurement of geometric features is performed by a colour camera, or the combination of a black-and-white camera and structured light. Material properties are detected by eddy current sensors. Most of these methods are illustrated with examples taken from a research project about the recognition of electronic components on PCB’s, for recycling purposes. Finally, some comments on the combination of sensor data (sensor fusion) to enhance the reliability of the identification process are given.",
    keywords = "Object recognition, Object identification, Computer vision, Machine vision, Eddy current",
    author = "Regtien, {Paul P.L.}",
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    booktitle = "Sensor technology in the Netherlands - state of the art",
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    }

    Regtien, PPL 1998, Measurement Strategies for Object Identification. in A van den Berg & P Bergveld (eds), Sensor technology in the Netherlands - state of the art: proceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands. MESA monographs, vol. 2, Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 1-10, Dutch Sensor Conference 1998, Enschede, Netherlands, 2/03/98. https://doi.org/10.1007/978-94-011-5010-1_1

    Measurement Strategies for Object Identification. / Regtien, Paul P.L.

    Sensor technology in the Netherlands - state of the art: proceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands. ed. / A. van den Berg; P. Bergveld. Dordrecht, The Netherlands : Kluwer Academic Publishers, 1998. p. 1-10 (MESA monographs; Vol. 2).

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

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    AB - Advanced automation of industrial processes such as product handling, assembly and inspection requires further development of systems for the identification of objects involved in such processes. Various measurement methods for obtaining information about the identity of objects, based on the detection of features by which the objects can be characterised, are reviewed. Examples of such features are shape (or particular geometric properties) and material properties. The measurement of geometric features is performed by a colour camera, or the combination of a black-and-white camera and structured light. Material properties are detected by eddy current sensors. Most of these methods are illustrated with examples taken from a research project about the recognition of electronic components on PCB’s, for recycling purposes. Finally, some comments on the combination of sensor data (sensor fusion) to enhance the reliability of the identification process are given.

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    KW - Object identification

    KW - Computer vision

    KW - Machine vision

    KW - Eddy current

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    DO - 10.1007/978-94-011-5010-1_1

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    SN - 978-94-010-6103-2

    T3 - MESA monographs

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    BT - Sensor technology in the Netherlands - state of the art

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    Regtien PPL. Measurement Strategies for Object Identification. In van den Berg A, Bergveld P, editors, Sensor technology in the Netherlands - state of the art: proceedings of the Dutch Sensor Conference, 2-3 March, 1998, University of Twente, the Netherlands. Dordrecht, The Netherlands: Kluwer Academic Publishers. 1998. p. 1-10. (MESA monographs). https://doi.org/10.1007/978-94-011-5010-1_1