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Implementation of a General Real-Time Visual Anomaly Detection System Via Soft ComputingThe intelligent visual system detects anomalies or defects in real time under normal lighting operating conditions. The application is basically a learning machine that integrates fuzzy logic (FL), artificial neural network (ANN), and generic algorithm (GA) schemes to process the image, run the learning process, and finally detect the anomalies or defects. The system acquires the image, performs segmentation to separate the object being tested from the background, preprocesses the image using fuzzy reasoning, performs the final segmentation using fuzzy reasoning techniques to retrieve regions with potential anomalies or defects, and finally retrieves them using a learning model built via ANN and GA techniques. FL provides a powerful framework for knowledge representation and overcomes uncertainty and vagueness typically found in image analysis. ANN provides learning capabilities, and GA leads to robust learning results. An application prototype currently runs on a regular PC under Windows NT, and preliminary work has been performed to build an embedded version with multiple image processors. The application prototype is being tested at the Kennedy Space Center (KSC), Florida, to visually detect anomalies along slide basket cables utilized by the astronauts to evacuate the NASA Shuttle launch pad in an emergency. The potential applications of this anomaly detection system in an open environment are quite wide. Another current, potentially viable application at NASA is in detecting anomalies of the NASA Space Shuttle Orbiter's radiator panels.
Document ID
20010028800
Acquisition Source
Kennedy Space Center
Document Type
Other
Authors
Dominguez, Jesus A.
(DYNACS Engineering Co., Inc. Cocoa Beach, FL United States)
Klinko, Steve
(DYNACS Engineering Co., Inc. Cocoa Beach, FL United States)
Ferrell, Bob
(NASA Kennedy Space Center Cocoa Beach, FL United States)
Steinrock, Todd
Date Acquired
September 7, 2013
Publication Date
January 1, 2001
Subject Category
Avionics And Aircraft Instrumentation
Meeting Information
Meeting: 10th IEEE International Conference on Fuzzy Systems
Location: Melbourne
Country: Australia
Start Date: December 2, 2001
End Date: December 5, 2001
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NAS10-98001
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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