Measurement Strategies for Object Identification

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


    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
    ISBN (Electronic)978-94-011-5010-1
    ISBN (Print)978-94-010-6103-2
    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


    ConferenceDutch Sensor Conference 1998


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


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