Standard factory control systems enable simple, after-the-fact decision-making. In contrast, a deep learning system can monitor the manufacturing process itself, creating an opportunity to fix problems even before they occur. This means that manufacturers can implement predictive analytics for asset maintenance, quality control, and other industry applications.
In this article, industrial IoT developers will learn:
• How to deploy deep learning without having to build a full custom solution
• About hardware and software tools that speed development of deep learning models
• How Intel® Movidius™ Myriad™ X VPUs enable power-efficient AI at the edge