Machine Vision for Composite Manufacturing
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{'SignBlockName': 'Ritchie B. Coryell', 'PO_EMAI': None, 'PO_PHON': None}
This research is directed towards providing a solution to                  a particular problem involving the manufacture of laminated                     composite materials.  A critical problem in this labor intensive                and expensive process is the inspection of ply edges to determine               whether they have been placed within tolerance.  A machine                      vision system to automate this inspection process has been                      developed in an earlier phase of this research.  The current                    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 highly regular                  architecture that integrates neural network modules in layers,                  thus significantly increasing the learning speeds for the neural                networks.
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{'Code': '5371', 'Text': 'SBIR Phase I'}
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