OCR Software is compatible with LabVIEW(R) environment.

Press Release Summary:




EconoCR(TM) optical recogniton software performs identification, matching, sorting, tracking, and verification of products as they move through laboratory, manufacturing or material handling processes. It can read LCDs and computer monitors during automated test operations. EconoCR is available for implementation on products powered by Analog Devices' 21XX DSPs, Texas Instruments' TMS320C62XX DSPs, Motorola's PowerPCs, and Hitachi's SH4 processor.




Original Press Release:



Concepts in Computing Enhances EconoCR(TM) Industrial OCR Software



Concepts In Computing, Inc (CIC), an innovative supplier of application-specific machine vision software and vision-integrated solutions, has enhanced its EconoCR(TM) industrial optical character recognition (OCR) software making it compatible with several new environments and processors. Originally offered as a C++ library of OCR related routines for Pentium®-compatible PCs or machine vision implementation platforms running Microsoft® Windows(TM) 9X or NT, an enhanced version of CIC's EconoCR is now available for National Instruments' popular LabVIEW® environment. EconoCR is also available for implementation on a variety of products powered by Analog Devices' 21XX family of Digital Signal Processors (DSPs), Texas Instruments' TMS32OC62XX family of DSPs, Motorola's PowerPCs, and Hitachi's SH4 processor.

CIC's EconoCR performs identification, matching, sorting, tracking, and verification of products as they move through various laboratory, manufacturing or material handling processes. Typical applications for the EconoCR software
include automatic reading of serial numbers or identification codes that are machine-marked on printed circuit boards/substrates/wafers, glass lenses and molds, electronic components and carriers, disk drive read/write heads, medical/dental devices and instruments, automotive or aerospace components, currency, and packaged goods. It has also been proven effective reading liquid crystal displays and computer monitors during automated test operations. Reading accuracy is virtually 100% on "good" characters while similar performance can be achieved on mediocre, and in many cases, poor quality characters via activation of certain advanced features. Additionally, on-site training of a new font can be accomplished in minutes. For those unable to operate at the library level, implementations of EconoCR are featured as an integral component of DVT Series 600 SmartImage sensors, certain DVT Legend 5XX Series sensors, and DVT's automatic identification-specific
SmartReader units, as "tools" or optional modules for Data Translation's DT Vision Foundry, Western Vision Software's HLImage++, and CORECO Imaging's Sherlock products. EconoCR is also the recognition engine of complete OCR application packages developed for deployment on smart cameras and sensors available from Baumer Electric/QualiVision, MATRIX Vision, and Vision
Components.

EconoCR is priced at $1,000 for end users, $700 for OEMs/Integrators, and $500 for manufacturers of machine vision hardware or software. A volume licensing discount schedule is available upon request.

Interested parties are encouraged to download a Windows-based demonstration program from www.c-in-c.com.

About Concepts In Computing, Inc.

Founded in 1983, Concepts In Computing, Inc. (CIC), is a proven developer and provider of machine vision software and vision-integrated solutions, and its EconoCR offering is widely believed to be the standard among low-cost, high-performance industrial OCR products. EconoCR is utilized in numerous industries worldwide by OEMs, system developers/integrators, and automation engineers inside end user organizations. It is available for Pentium®-compatible PCs and compact vision implementation platforms as well as the most widely used smart
cameras and smart sensors.

For additional information, contact: Concepts In Computing, Inc., 114 Prairie Hill Road, South Beloit, IL, 61080; Telephone: (815) 624.7765; Fax: (815) 624.7425; EMail: EconoCRinfo@aol.com; or visit www.c-in-c.com.

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