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MACHINE VISION FOR COMPOSITE MANUFACTURING

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
10712
Program Year/Program:
1989 / SBIR
Agency Tracking Number:
10712
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Flow Research Inc
21414 - 68th Avenue South Kent, WA 98032
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1989
Title: MACHINE VISION FOR COMPOSITE MANUFACTURING
Agency: NSF
Contract: N/A
Award Amount: $49,996.00
 

Abstract:

MANUFACTURE OF LAMINATED COMPOSITE MATERIAL IS A LABOR INTENSIVE AND THUS AN EXPENSIVE PROCESS. A CRITICAL PROBLEMIS THE INSPECTION OF PLY EDGES TO DETERMINE WHETHER A PLY EDGE HAS BEEN PLACED WITHIN TOLERANCE. FLOW HAS DEVELOPED AMACHINE VISION SYSTEM TO AUTOMATE THIS INSPECTION PROCESS. THIS PROPOSED RESEARCH EFFORT SEEKS TO IMPROVE THE ACCURACY,ADAPTABILITY, AND SPEED OF THIS SYSTEM BY THE USE OF NEURAL NETWORK TECHNIQUES. THE PROPOSED IMAGE PROCESSING SYSTEM WILL USE A REGULAR ARCHITECTURE THAT INTEGRATES NEURAL NETWORK MODULES IN LAYERS. IT IS EXPECTED THAT CONSTRAININGTHE SYSTEM TO A HIGHLY REGULAR ARCHITECTURE CAN SIGNIFICANTLY INCREASE THE LEARNING SPEEDS FOR NEURAL NETWORKS. EACH NETWORK MODULE WILL BE RELATIVELY SIMPLE, AND THERE WILL BE ONLY A FEW DIFFERENT TYPES OF MODULES. THE SYSTEM CAN BE MANUFACTURED USING EXISTING VLSI TECHNOLOGY. EXPECTED ADVANTAGES FROM THIS APPROACH ARE: DATA COMPRESSION, INCREASED SPEED, CAPABILITY OF WORKING WITH AMBIGUOUS IMAGES, CAPABILITY OF HANDLING A LARGE FIELD OF VIEW WITH GOOD RESOLUTION, AND REDUCED COST.

Principal Investigator:

Tyler C Folsom
Principal Investigator
2068728500

Business Contact:

Small Business Information at Submission:

Flow Research Co
21414 68th Ave S Kent, WA 98032

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