STMicroelectronics Streamlines Machine-Learning Software Development for Connected Devices and Industrial Equipment with Upgrades to NanoEdge™ AI Studio
- New algorithms to better predict equipment anomalies and future behavior
- New capabilities to ease use of industrial sensor data acquisition and management using an ST development board
- Enhanced user interface to make machine-learning implementation easier for embedded developers with no data-science skills
David Dorval, CEO and founder of Stimio, a company specialized in development of industrial IoT solutions for the railway and other industries (IIoT), said:
“Our major railway customers are asking us to provide them with autonomous low-power wireless based predictive maintenance solutions to increase uptime, optimize costs and avoid costly downtime. The contribution of edge low-power AI is at the heart of our strategy.
After benchmarking several Edge AI software solutions, we chose NanoEdge AI Studio from STMicroelectronics to enrich our Oxygen Edge offering with powerful low-power AI algorithms.”
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