October 26, 2022 8:00 AM
Predictive maintenance is a data- and technology-based method of carrying out proactive maintenance. The main goal of predictive maintenance is to identify potential machine issues well before they lead to critical situations with shutdowns. This is realized through constant equipment performance monitoring enabled by sensors, data collection, and near-real-time communication between equipment and software. The new rise of interesting automation equipment & parts enable this in part or can at least run C++, which is of great help in such a context. Predictive maintenance can offer numerous, unparalleled benefits in productivity and efficiency — benefits which you will be able to understand from this predictive maintenance session between RealPars and Edge Impulse. It is also important to understand predictive maintenance challenges exist, but are well worth the future ROI of a edge ML enabled predictive maintenance solution.
This Vision Systems Design webinar will explore the role machine vision plays a key role in smart factories, where automated manufacturing lines will be able to self-adjust to maximize quality, output, and profitability.
Don't miss Edge AI Vision Alliance's virtual workshop to learn how the Sony Spresense and Edge Impulse's FOMO object detection algorithm make a compelling combination for computer vision workloads.