• DocumentCode
    1613429
  • Title

    Binocular automatic particle inspection machine for bottled medical liquid examination

  • Author

    Jifei Fang ; Yaonan Wang ; Chengzhong Wu

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • fYear
    2013
  • Firstpage
    397
  • Lastpage
    402
  • Abstract
    Automatic Particle Inspection Machine (APIM) is capable of detecting visible impurities in ampoules and penicillin bottles. However, for Large Volume Parenteral (LVP), Dynamic Background Interference and Narrow Depth of Field problems mostly lead to failure using traditional monocular inter-frame difference algorithm. In this paper a binocular inspection algorithm and system based on monocular machine is proposed to overcome those disturbances. The binocular inspection system only changes the pose of cameras without increasing hardware costs and the algorithm employs an efficient sequential-image-stereo matching method to achieve real-time online inspection. Experimental results of inspection comparison between monocular and binocular for alarm rate and omission rate show detection validity even if the blurred parts due to the disturbance cannot be distinguished from its own background by monocular method.
  • Keywords
    automatic optical inspection; bottles; computer vision; pharmaceutical technology; production engineering computing; stereo image processing; video cameras; binocular automatic particle inspection machine; bottled medical liquid examination; cameras; dynamic background interference; impurities; monocular interframe difference algorithm; monocular machine; penicillin bottles; realtime online inspection; sequential image stereo matching method; Cameras; Geometry; Inspection; Interference; Light sources; Liquids; Transmission line matrix methods; binocular; foreign particle; inspection machine; medical liquid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2013
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-0332-0
  • Type

    conf

  • DOI
    10.1109/CAC.2013.6775767
  • Filename
    6775767