A joint visual search and memory retrieval model of visual inspection is described here to allow improved prediction of inspection time and accuracy. The model includes search between and within regions of a part, and describes decision making as a series of comparisons between a potential defect and a series of probabilistically-ordered attributes. Inspection errors are expected when low probability attributes are not reliably checked, or when poorly organized.
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