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Vendor Selected Report for Computer-Assisted Data Acceptance of Raster Identification Data.

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Test rept.

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Army PM JCALS, under the direction of the CALS Test Network Office CTNO, has developed Computer-Assisted Data Acceptance CADA procedures for automating the acceptance of CALS raster, Type I, data. The objective of these procedures is to reduce the labor requirements of the currently used manual quality assurance QA procedures. Effective implementation of the CADA procedures depends on the use of reliable image quality analysis and identification recognition techniques and tools. The QA procedure requires evaluating the quality of the image data as well as the quality and accuracy of key identification data ID within the body of the image field. The identification data such as DRAWING NO., SIZE, REV., SHEET NO., etc. are keyed into the header field as ASCII characters. This ID is then used to generate the index for locating the drawings, hence it must be correct. However, due to the fact that the ID is not always accurate, errors can be made during the preparation of the header data. It is therefore necessary to ensure that the header ASCII ID is the same as the ID within the image area of the drawing. This is done visually by actually looking at the image ID and the header ID. Obviously, manually viewing each image is not only labor intensive, but also time consuming. Because of the above mentioned facts alternative methods were investigated to automate the verification of the accuracy of the identification data within the CALS delivered engineering drawing image and associated header areas.

Subject Categories:

  • Computer Programming and Software
  • Computer Systems
  • Manufacturing and Industrial Engineering and Control of Production Systems

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