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Registration and fusion of multi-sensor data using multiple agents

By RJ Tait, AA Hopgood and G Schaefer

Abstract

Non-destructive evaluation is widely used in the manufacturing industry for the detection and characterisation of detects. Typical techniques include visual, magnetic particle, fluorescent dye penetrant, ultrasonic, and eddy current inspection. This paper presents a multi-agent approach to combining image data such as these for quality control. The use of distributed agents allows the speed benefits of parallel processing to be realised, facilitating increased levels of detection through the use of high resolution images. The integration of multi-sensor devices and the fusion of their multi-modal outputs has the potential to provide an increased level of certainty in defect detection and identification. It may also allow the detection and identification of defects that cannot be detected by an individual sensor. This would reduce uncertainty and provide a more complete picture of aesthetic and structural integrity than is possible from a single data source. A blackboard architecture, DARBS (Distributed Algor

Publisher: International Society for Optical Engineering
Year: 2005
DOI identifier: 10.1117/12.604510
OAI identifier: oai:irep.ntu.ac.uk:16555
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