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  • 3 Ways to Enhance Packaging Performance with Machine Vision Optical Character Recognition (OCR) (.pdf)
    Machine vision OCR (optical character recognition) helps manufacturers optimize efficiency while meeting tracking and labeling requirements. Three common applications of OCR are described in this white paper: ensuring code presence and verification of readability, tracking products throughout
  • Understanding Optical Character Recognition (.pdf)
    Optical Character Recognition, commonly known as OCR, is distinct from linear and 2D symbologies in that it is simultaneously machine-readable and human-readable. OCR does not replace the more robust, secure options of linear and 2D symbologies. For traceability applications, 2D symbols offer
  • MICRO: Products In Action
    Advanced Micro Devices (AMD; Austin, TX) recently retrofitted a 15-year-old Anelva 1015 sputtering system with new optical character recognition (OCR) sensor technology. The retrofit was done to demonstrate the feasibility of integrating a stand-alone, in situ wafer identification system
  • Machine Vision for Packaging Blends Science, Engineering and Art
    and embedded vision processors sell for well under $10,000 yet provide many capabilities. Most modern vision systems perform optical character recognition (OCR), optical character verification (OCV), and can read bar codes and 2-D Matrix, maximizing the short- and long-term capital investment, says Iv
  • Machine Vision for Packaging Blends Science, Engineering and Art
    , vision systems assure that the package meets its communication requirements. The most common use of vision systems in this regard is inspecting variable information and component version numbers on container labeling. In this application, optical character recognition (OCR) and verification (OCV
  • Ensuring Labeling Accuracy in the Packaging Process (.pdf)
    to these regulations and avoid product recalls, whilst ensuring quality. and improving efficiency. Three specific applications are discussed in this paper: * End of Line barcode system that detects incorrect labels in a food packaging facility. * Machine vision OCR (optical character recognition) system

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