How Autonomous AI Tackles Quality Control Costs
Quality is often viewed as a direct driver of customer satisfaction and operational efficiency in manufacturing. Yet some organizations fail to recognize the hidden costs of quality issues, significantly impacting the bottom line.
How important is domain specific data? - The data challenge for AI applications in quality inspection
The concept of pre-trained deep learning models has gained prominence as a means to facilitate rapid development across multiple applications. We even hear about deep learning models that just need minor tweaks to perform optimally on some applications.
Emphasis on Quality Control Has Retail Distribution Centers Looking Like Automated Factories
Multiple forces are converging to propel this shift toward automating quality control in distribution centers. Retailers must untangle a wide assortment of issues to navigate this shift.
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OnLogic
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