• DocumentCode
    1528646
  • Title

    Machine vision reaches top gear

  • Author

    Graves, Colin

  • Author_Institution
    Cognex UK, Milton Keynes, UK
  • Volume
    44
  • Issue
    6
  • fYear
    1998
  • fDate
    11/19/1998 12:00:00 AM
  • Firstpage
    265
  • Lastpage
    267
  • Abstract
    The power and simplicity of a new generation of machine vision systems have done much to overcome the automotive industry´s reluctance to invest in this technology. Most vision applications in the automotive industry are for machine guidance or quality inspections. In quality control inspections, the vision system determines whether parts or sub-assemblies are acceptable or defective and then directs motion control equipment to reject or accept them. Machine guidance applications use vision systems to improve the accuracy and speed of assembly robots and automated materials handling equipment in several areas. The most advanced machine vision systems enable a robot to locate the part or sub-assembly on which it is working, regardless of rotation or scale. In most applications, machine vision provides real-time data and live feedback to guide robots as they go through programmed sequences of operations. The new generation of vision systems can be trained to look for detailed patterns and shapes that match templates for correctly made subassemblies. Powerful pattern recognition capabilities allow vision systems to find missing material, chips, scratches, dents, misplaced markings and a variety of other flaws. As well as ensuring the quality of finished parts and products, they also enable manufacturers to reduce costs by eliminating defective pieces before wasting additional material and time on them
  • Keywords
    assembling; automatic optical inspection; automobile industry; industrial robots; pattern recognition; quality control; robot vision; assembly robots; automated materials handling equipment; automotive industry; costs reduction; live feedback; machine guidance applications; machine vision; part location; pattern recognition capabilities; quality control inspections; quality inspections; real-time data;
  • fLanguage
    English
  • Journal_Title
    IEE Review
  • Publisher
    iet
  • ISSN
    0953-5683
  • Type

    jour

  • DOI
    10.1049/ir:19980609
  • Filename
    774875