Packaging systems are under strong demands to ensure the quality of primary, secondary and final packaging while at the same time maximizing production flow. Microscan’s barcode and machine vision products are commonly used throughout automated packaging applications to monitor, track and trace critical data to ensure quality while maximizing productivity.
Our products feature the latest barcode reading technology for decoding both linear barcodes and 2D symbols, such as Data Matrix. Specialty readers are available for tight spaces, high-speed reading and symbol reconstruction.
We offer a variety of off-line and in-line verification solutions that include camera, software and precision illumination specifically designed for the verification of 1D/2D codes to industry standards.
Microscan machine vision solutions provide precision product inspection to ensure products are traceable, accurate, safe and meet customer expectations. Our products include machine vision software, smart cameras, and in-line press and thermal print inspection systems.
Microscan products are engineered with specifications for a wide range of industry standards:
Are you a beginner looking to learn more about barcode quality, or already have some experience under your belt, but are in need of a quick overview of barcode quality 101? We've put together an e-book for you where you can find the basics needed to understand how to read, monitor and verify barcodes.
The FDA established a unique device identification (UDI) system to identify and trace medical devices throughout their distribution and use. As part of this mandate, labels on medical devices must contain a UDI code in human- and machine-readable form.
ISW GmbH, Microscan Vision Select Partner, designed a turnkey hardware/software solution for the pharmaceutical industry to specifically ensure accurate dimensions and fill levels of ampoules in production, using machine vision inspection with Microscan high-performance Gigabit Ethernet (GigE) cameras to replace error-prone manual quality control processes.