When running on the microcontroller, the classifier analyzes the live data and indicates the percentage of similarity against this static knowledge.Ī regression algorithm can be used to extrapolate data and predict future data patterns. Import the signals into the Studio and, in just a few steps, create a classification ML library that gathers all this knowledge into a single library. Import normal signals into the Studio and easily create an optimized outlier detection ML library.Ī classification library can be used to classify a collection of data, representing different types of equipment defects (such as bearing problems, cavitation problems or others) or different types of events in equipment environment. No example of abnormal behavior is needed.
Outlier detection can be used to detect any abnormality with the one-class classification method. Once trained, the library inference compares data coming from equipment over time against the locally created models to identify and report anomalies. The library learns the equipment behavior from data acquired locally and adapts to each equipment behavior. Once created, load the library into the microcontroller to train and infer directly on the device. The Studio can generate four types of libraries: anomaly detection, outlier detection, classification, and regression libraries.Īn anomaly detection library is generated from a minimal amount of data examples showing normal and abnormal behaviors. Any software developer using the Studio can create optimal ML libraries from its user-friendly environment with absolutely no Artificial Intelligence (AI) skills. One of its big advantages is that NanoEdge™ AI Studio requires no specific data science skills. NanoEdge™ AI Studio, also called the Studio, is a PC-based push-button development studio for developers, which runs on Windows ® or Linux ® Ubuntu ®. This is a bundle that includes training sessions, a NanoEdge™ AI Studio license, and technical support.Ĭheck the ordering information section from the data brief for more details and contact STMicroelectronics sales office or authorized business partners to proceed with an order. To help users to bootstrap their projects, STMicroelectronics proposes the Edge AI Sprint Package to limit risks and investments while increasing the chances of success.
A professional version provides the yearly Solo or Team licenses for embedded developers. A demonstration version is available for three months for free experiments.
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