Thousands of commercially available industrial IoT (IIoT) embedded devices are already in production with NanoEdge AI Studio V1 for anomaly detection. With the addition of classification libraries to NanoEdge AI Studio V2, developers will now be able to more easily go beyond anomaly detection to qualify problems directly in endpoints.
“Cartesiam makes tools for embedded developers, offering an intuitive push-button approach that requires no background in data science, opening AI to the billions of resource-constrained embedded devices built with Arm Cortex-M MCUs,” said Joël Rubino, CEO and co-founder, Cartesiam. “We initially designed NanoEdge AI Studio to meet demand from our customers in predictive maintenance, who, having accumulated data on the use of their equipment, asked us to help them easily qualify their events as well as to anticipate them. The new version of our IDE allows those customers - and any other embedded designer - to effortlessly develop a classification library without the usual challenges associated with signal processing and machine learning skills. This dramatically reduces costs and speeds time to market.”
Key features of NanoEdge AI Studio V2:
Superior anomaly detection and classification — because the model is trained in the microcontroller, anomaly detection wakes up the classifier for characterization, telling the system exactly what’s wrong, not just that there’s a generic problem - enabling more informed decisions
Data science expertise, signal processing and machine learning skills not needed — unlike competitive AI software solutions running in the cloud, he IDE is an intuitive desktop tool that lets embedded developers focus on solving business problems rather than on selecting algorithms
Optimised for Arm Cortex-M MCUs, the industry’s most widely used embedded microcontrollers
Low RAM footprint — consumes as little as 4Kb RAM in a typical configuration, making it suitable for resource-constrained devices
Rapid learning at the edge — performs iterative learning in 30msecs in an Arm Cortex-M4 80Mhz to deliver intelligence quickly
Cartesiam also announced the Use Case Explorer at data.cartesiam.ai, a web-based platform. Users are able to download real datasets and try the NanoEdge AI Studio IDE on representative use cases.
Cartesiam said that it would be continuously enhancing the portal with additional datasets.
