The automation of car body spray booth operations employing paint spraying robots generally requires the robots to execute one of a number of defined routines according to the car body type. A vision system is described which identifies a car body type by its shape and provides an identity code to the robot controller thus enabling the correct routine to be executed. The vision system consists of a low cost linescan camera, a flucrescens light source and a microprocessor image analyser and is an example of a cost effective, reliable, industrially engineered robot vision system for a demanding production environment. Extension of the system with additional cameras will increase the application to the other automatic operations on a car assembly line where it becomes essential to reliably differentiate between up to 40 vatiations of body types.


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    Titel :

    Vision System To Identify Car Body Types For Spray Painting Robot


    Beteiligte:
    Uartlam, Peter (Autor:in) / Neilson, Geoff (Autor:in)

    Kongress:

    Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls ; 1983 ; Cambridge,United States


    Erschienen in:

    Proc. SPIE ; 0449 ; 280


    Erscheinungsdatum :

    06.02.1984





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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