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Abstract

The system automatically performs analysis on images from a remote video inspection apparatus to provide an operator with an indication of areas that are potentially out of specification, or which require more detailed analysis by the operator. Pattern recognition algorithms are applied to sequential images to search for anomalies or defects in the images. The search area is initially limited to edges of the item being inspected where the probability of defects is much higher. To reduce the processing requirements and probability of false detection, the search area is narrowed to a limited field of view and depth. Defects such as dents and small cracks are detected using stereo measurement techniques or by projecting a known supplementary image into the defect. These techniques are used to provide an image disparity map. Using known triangulation algorithms, this map provides depth and distance information to the processing system.

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First Claim