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Conversion of Scanned Engineering Drawings to Product Data Descriptions

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
19906
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
19906
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1993
Title: Conversion of Scanned Engineering Drawings to Product Data Descriptions
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $88,040.00
 

Abstract:

Despite the popularity of CAD/CAM systems today, over 90% of all drawings in the U.S. are not computer processable as they exist only in paper or microfilm. Without the development of technology to convert raster drawing to product data model, this situation is like to persist for some tine as over 50% of all new drawings are still being executed on paper. This vast backlog of manual drawings is a serious problem to logistic support as most engineering projects involve incremental changes to, or reuse of components in existing designs. The current practice of overlaying vector drawings on top of raster images necessitates investment in vast amounts of persistent data storage. Raster images cannot be used with modern CAD/CAM/CAE systems. This proposal describes a system that will input information from a raster to vector converter, and with human assistance, output produce-data models (PDES). The system uses an approach that takes advantage connectionist techniques (Neural nets and Fuzzy logic) with traditional knowledge-based techniques. A three-phase process is used: 1) recognition of abstract topological patterns, 2) hypothesizing product data prototypes for these abstract patterns, and 3) validation of prototype shapes within the context of the evolving product-data model using constraint propagation.

Principal Investigator:

Arthur Keen
4092605274

Business Contact:

Small Business Information at Submission:

Knowledge Based Systems, Inc.
One Kbsi Place, 1408 University Drive East College Station, TX 77840

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No