OCR software expands compatibility

10/27/2005


Machine Control
Value Engineering Alliance announced a new version of its EconoCR industrial OCR software for Vision Components’ Texas Instruments’ TMS320C6 series, DSP-based VC20-type smart cameras.

The Value Engineering Alliance , a machine vision provider, announced a new version of its EconoCR industrial OCR (optical character recognition) software suitable for use on Vision Components’ Texas Instruments’ TMS320C6-series, digital-signal-processor-based, VC20-type smart cameras.

Designed for programmers, software engineers, and machine vision specialists capable of operating at the library routine level, the software enables users to create stand-alone industrial OCR systems quickly; library routine format also allows the software to be easily combined with 1-D bar and 2-D matrix decoding software to produce more general-purpose video camera-based automatic identification applications. Characters to be read can be uniformly or proportionally spaced, dot matrix or continuous stroke, appreciably larger or smaller than those used in training, misaligned, rotated, and may use different fonts. On-site training of any font can be accomplished in minutes; reading accuracy is virtually 100% on characters of relatively good quality, the company says. Similar performance is achievable on mediocre and many poor quality characters when EconoCR’s “fielding” option is used to specify which characters are allowed to occupy each position in a properly constructed character string, or when other advanced options are activated that are designed for touching characters, slanted characters, extraneous marks, non-uniform backgrounds, and less-than-ideal lighting conditions, the company says.

Applications include automatic recognition of characters and symbols that have been machine-marked (laser-scribed, dot-peened/pin-stamped, inkjet-printed, laser-printed, electrochemically etched, etc.) on PCBs/substrates, glass lenses, molds and containers, electronic components and carriers, medical/dental devices and instruments, automotive parts, aerospace components, direct mail pieces, and packaged goods.

—Mark T. Hoske, editor-in-chief, Control Engineering,
MHoske@cfemedia.com





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