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STRUCTURES.

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
2616
Program Year/Program:
1985 / SBIR
Agency Tracking Number:
2616
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Civil & Environmental Tech Asc
14 Kensington Road Arlington, MA 02174
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1985
Title: STRUCTURES.
Agency: NSF
Contract: N/A
Award Amount: $40,000.00
 

Abstract:

THE RAPID GROWTH AND MATURATION OF OUR CAPITAL INFRASTRUCTURE HAS CREATED A MAINTENANCE BURDEN GREATER THANEVERE BEFORE. A CRITICAL ASPECT OF THE INFRASTRUCTURE MAINTENANCE PROCESS IS THE INPUT FROM INSPECTIONS AND CONDITION SURVEYS OF THE LARGE STRUCTURES (E.G. DAMS, BRIDGES, ROADS) THAT CONSTITUTE OUR INFRASTRUCTURE SYSTEMS. THE TRADITIONAL AND TIME HONORED TECHNIQUE OF VISUAL INSPECTION BY TRAINED INSPECTORS IS NO LONGER ADEQUATE TO MEET THIS NEW MAINTENANCE DEMAND. THIS IS DUE TO THE SIZE, EXTENT, AND INACCESSIBILITY OF THE STRUCTURES THEMSELVES, TOTHE MAGNITUDE OF THE MAINTENANCE NEED, AND TO THE LIMITED AVAILABILITY OF TRAINED INSPECTORS. IN ORDER TO ADDRESS THIS PROBLEM, THIS RESEARCH PROPOSES THE CONCEPT OF AUTOMATING THE ACQUISITION, ANALYSIS, AND INTERPRETATION OF VISUAL DATA USED FOR INSPECTING STRUCTURES. THE CONCEPT DRAWS ON TECHOLOGIES THAT HAVE BEEN WELL DEVELOPED IN THE FIELDS OF "MACHINE VISION", REMOTE SENSING, AND MEDICAL IMAGERY. THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP A CONCEPT AND SPECIFICATION FOR A SYSTEM WHICH INTEGRATES VISUAL DATA ACQUISITION, DATA CONVERSION, VISUAL IMAGE PROCESSING, SYMBOLIC FEATURE DISCRIMINATION AND PATTERN RECOGNITION, AND KNOWLEDGE-BASED INTERPRETATION OF SYMBOLIC FEATURES AND PATTERNS. THIS OBJECTIVE WILL BE ACCOMPLISHED THROUGH A SERIES OF SIMPLE BUT CRITICAL COMPUTATIONAL EXPERIMENTS CARRIED OUT ON PHOTOGRAPHIC DATA, UTILIZING STANDARD PROCESSING ALGORITHMS AND AVAILABLE SOFTWARE.

Principal Investigator:

Dr kenneth r maser
PRESIDENT
6176464957

Business Contact:

Small Business Information at Submission:

Civil & Environmental Tech Asc
14 Kensington Rd Arlington, MA 02174

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