With the rise of the Internet of Things (IoT), artificial intelligence (AI) is moving away from the data center and closer to the place of action.
Machine learning continuously monitors signals from equipment and identifies trends to indicate the performance of a piece of equipment. Troubleshooting occurs before they occur, thus saving millions of dollars by avoiding unplanned downtime. This predictive maintenance is driving demand for AI at the edge of the network and throughout the IoT.
Microchip's new Technical Guide, titled "Trends in Edge AI," explains how machine learning is powering industrial systems.
The guide, which can now be downloaded, allows you to discover:
- A new generation of devices capable of processing visual data from cameras installed at the edge
- Machine learning to avoid loss of production time through supervisory teams
- How to reduce consumption in the sensor node by using local processing to perform the analysis
- Fundamental tools for AI
“Trends in Edge AI” is your complete guide to localized processing.
