Bringing AI and Computer Vision to the Industrial Shop Floor

May 15, 2019
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
Previous White Paper
People, Technology Power Machine Uptime
People, Technology Power Machine Uptime

Preventive asset maintenance on the factory floor can lead to optimized production and substantial savings.

Next Article
Smart System Maintenance: Artificial Intelligence in the System Integrator Toolbox

Artificial intelligence plays a new role in long-term, predictive maintenance strategies. Predictive algori...