Barcode / Auto ID
Microscan Leads Barcode Technology
As the inventor of the first laser diode barcode scanner, our company was founded on technology innovation and continues as a technology leader today. Microscan holds one of the world's most robust patent portfolios for barcode reading technology, including laser scanning, imaging technologies, hardware and software.
Microscan is in continual technology development in order to provide cutting edge technology and complete offerings for auto ID barcode applications for Track, Trace, and Control. Today, we provide fast, reliable reading solutions for all symbologies and OCR. Our products read any linear barcodes or 2D symbols printed or marked by any means.
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About Barcodes
Linear or 1D barcodes have been in use since the 1970s and are the most common symbology type used for automatic identification part tracking. Today, increasing numbers of manufacturers are using two-dimensional (2D) symbols, such as Data Matrix, that offer greater placement flexibility and increased data capacity. Many industries specify the exact symbologies which must be used, and regulate their quality.
In addition, many manufacturers now practice “cradle-to-grave” traceability and permanently mark parts with a machine-readable symbol that is verified at each stage of the manufacturing process. Machine-readable symbols generally fall into the categories of linear barcodes, stacked symbols, 2D symbols, and Optical Character Recognition (OCR) fonts.
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1D and 2D Symbology Standards
- Automotive Industry Action Group: AIAG B4
Parts Identification and Tracking
- Air Transport Association: SPEC 2000
Electronics Commerce, Including Permanent Part ID
- U.S. Department of Defense: IUID
Permanent & Unique Item Identification
- Electronics Industry Association: EIA 706
Component Marking
- ISO/IEC 16022
International Symbology Specification
- ISO/IEC 15418
Symbol Data Format Semantics
- ISO/IEC 15434
Symbol Data Format Syntax
- ISO/IEC 15415
2D Print Quality Standard
- Society of Aerospace Engineers: AS9132
Data Matrix Quality Requirements for Part Marking
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