Features
• Desktop tool for design and generation of an STM32-optimized library for
anomaly detection and feature classification of temporal and multi-variable
signals
• Anomaly detection libraries are designed using very small datasets. They can
learn normality directly on the STM32 microcontroller and detect defects in real
time
• Classification libraries are designed with very small, labeled dataset. They
classify signals in real time
• Supports any type of sensor: vibration, magnetometer, current, voltage, multi-
axis accelerometer, temperature, acoustic and more
• Explore millions of possible algorithms to find the optimal library in terms of
accuracy, confidence, inference time and memory footprint
•
Generate very small footprint libraries running down to the smallest Arm
®
Cortex
®
‑M0 microcontrollers
• Embedded emulator to test library performance live with an attached STM32
board or from test data files
• Easy portability across the various STM32 microcontroller series
Product status link
NanoEdgeAIStudio
Automated Machine Learning (ML) tool for STM32 microcontrollers
NanoEdgeAIStudio
Data brief
DB4564 - Rev 2 - November 2021
For further information contact your local STMicroelectronics sales office.
www.st.com
1 Description
NanoEdge
™
AI Studio (NanoEdgeAIStudio) is a new Machine Learning (ML) technology to bring true innovation
easily to the end-users. In just a few steps, developers can create an optimal ML library for their project, based on
a minimal amount of data.
It is available under 2-week evaluation license for free experiments, or with Solo or Team yearly development
license. To help users to build their prototypes or proofs of concept faster, with limited risk and investment and
maximum chance of success, STMicroelectronics also proposes the Edge AI Sprint Package including a license
with dedicated education and support. Check 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.
NanoEdge
™
AI Studio, also called the Studio, is a PC-based push-button development studio for developers,
which runs on Windows
®
or Linux
®
Ubuntu
®
.
One of its big advantages is that NanoEdge
™
AI Studio requires no specific data science skills. Any software
developer using the Studio can create optimal ML libraries from its user-friendly environment with absolutely no
Artificial Intelligence (AI) skills.
The Studio can generate two types of libraries: anomaly detection libraries and classification libraries.
An anomaly detection library is generated from a minimal amount of data examples showing normal and
abnormal behaviors. Once created, load the library into the microcontroller to train and infer directly on the device.
The library learns the equipment behavior from data acquired locally and adapts to each equipment behavior.
Once trained, the library inference compares data coming from equipment over time against the locally created
models to identify and report anomalies.
A 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. 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. When running on the microcontroller, the classifier analyzes the
live data and indicates the percentage of similarity against this static knowledge.
Both types of libraries can be combined and chained, anomaly detection to detect a problem on the equipment
and classification to identify the source of the problem to provide real insight to the maintenance team.
The input signals can range from vibration to pressure, sound, magnetic, time of flight just to name a few, or even
a combination of several signals. Multiple sensors can be combined, either in a single library, or using multiple
libraries concurrently.
Both learning and inference are done directly inside the microcontroller by means of the NanoEdge
™
AI self-
learning library, which streamlines the AI process and significantly reduces development effort, cost and therefore
time to market.
NanoEdgeAIStudio
Description
DB4564 - Rev 2
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