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This video introduces iRVision's AI Error Proofing tool, designed to automate quality control in manufacturing. Unlike traditional inspection, this tool excels at binary classification, distinguishing between states like good/bad or up/down. Users train the AI by providing multiple examples of each class. The tool learns to identify which class new workpieces belong to, flagging unsure cases for manual review. This human feedback further refines the AI model. The video demonstrates this by training the tool to identify correctly oriented versus upside-down bagels for packaging, showcasing how easily the AI adapts with minimal training data, eliminating the need for extensive machine vision expertise.