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When it comes to visual inspection tasks humans do a good job, as we rely on our senses to detect flaws, defects, and changes to patterns, we adapt quickly and make logical decisions based on case examples. However, we make mistakes or second guess our judgement and instincts when we execute repetitive tasks or develop fatigue. Traditional inspection processes for manufacturers specializing in short-run, customized, seasonal, and regional products, often utilize human inspectors given the uneconomical challenges to fully automating inspection processes. For these manufacturers, introducing technologies like AI-based visual inspection tools help add decision-support so operators will always make a correct, objective choice. This also promotes higher valued skills within the organization and helps to retain staff and train employees quickly and efficiently. Topics discussed will include:
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