How do product defects affect your bottom line?

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Despite efforts made by your organization to prevent defective product from reaching customers, defects still manage to slip through, or, even worse, your vision system creates false positives.
While time consuming and expensive, quality assurance is a critical factor in manufacturing – on average, poor-quality product accounts for 10-15% of a manufacturer’s total operating costs.
This infographic explains how Artificial Intelligence (AI) manages to do what traditional vision systems can’t when it comes to improving product quality.
Access now to explore:
How costly defects are to manufacturers How Deep Learning can be implemented to solve the “false hit” defect problem How root cause analysis can identify the source of defects before they get out of hand

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