Overview
Sample & Buy
Solutions
Resources
Tools & Software
Quality & Reliability
eDesignSuite
Get Started
Partner products
Sales Briefcase
  • Condition monitoring is a major component of predictive maintenance systems, allowing production performance improvement, cost reduction and a drastic decrease of the downtime due to routine maintenance.

    The FP-AI-NANOEDG1 function pack helps to jump-start the implementation and development of condition monitoring applications designed with the NanoEdge™ AI Studio solution from Cartesiam (a member of the ST Partner program).
    NanoEdge™ AI Studio simplifies the creation of autonomous Machine Learning libraries with the possibility of running not just inference but also training on the edge. It facilitates the integration of predictive maintenance capabilities as well as the security and detection with sensor patterns self-learning and self-understanding, exempting users from special skills in mathematics, Machine Learning, data science, or creation and training of Neural Network.
    FP-AI-NANOEDG1 covers the entire design of the Machine Learning cycle from the data set acquisition to the integration of NanoEdge™ AI Studio generated libraries on a physical node. It runs the inference in real time on an STM32L562QE ultra-low-power microcontroller (Arm® Cortex®-M33 at 110 MHz with 512 Kbytes of Flash memory and 256 Kbytes of SRAM), taking physical sensor data as input. The NanoEdge™ library generation itself is out of the scope of this function pack and must be generated using NanoEdge™ AI Studio.
    FP-AI-NANOEDG1 implements a wired interactive command-line interface (CLI) to configure the node, record data, and manage learning and detection phases. However, all these operations can also be performed in a standalone battery-operated mode through the user button, without having the console. A simple UI implemented on the LCD monitors the processing and its outcome.

    Key Features

    • Complete firmware to program an STM32L5 sensor node for condition monitoring and predictive maintenance applications
    • Stub for replacement with a Cartesiam Machine Learning library generated using the NanoEdge™ AI Studio for the desired AI application
    • Configuration and acquisition of STMicroelectronics iNEMO LSM6DSO 3D digital accelerometer and gyroscope
    • Data logging on a microSD™ card
    • Simple LCD user interface
    • Autonomous mode controlled by user button
    • Interactive command-line interface (CLI) for
      • Node and sensor configuration
      • Data logging
      • Learning and detection phase management of the NanoEdge™ library
    • Easy portability across STM32 microcontrollers by means of the STM32Cube ecosystem
    • Free and user-friendly license terms

Get Software

Recommended for you

Latest from ST

Nanoedge AI™ by Cartesiam

Nanoedge AI™ Studio by Cartesiam

Machine Learning Software made easy for STM32

Embedded Software

    • Part Number

      NanoEdge AI™ by Cartesiam is the firstMachine Learning Software specifically developed to entirely run on microcontrollers.

Evaluation Tools

    • Part Number

      Discovery kit with STM32L562QE MCU

00 Files selected for download

Technical Documentation

    • Description Version Size Action
      DB4196
      Artificial Intelligence (AI) condition monitoring function pack for STM32Cube
      2.0
      133.98 KB
      PDF
      DB4196

      Artificial Intelligence (AI) condition monitoring function pack for STM32Cube

    • Description Version Size Action
      UM2721
      Artificial Intelligence (AI) condition monitoring function pack for STM32Cube
      1.0
      9.2 MB
      PDF
      UM2312
      Development checklist for STM32Cube Expansion Packages
      2.0
      306.99 KB
      PDF
      UM2285
      Development guidelines for STM32Cube Expansion Packages
      1.0
      485.46 KB
      PDF
      UM2388
      Development guidelines for STM32Cube firmware Packs
      1.0
      2.96 MB
      PDF
      UM2721

      Artificial Intelligence (AI) condition monitoring function pack for STM32Cube

      UM2312

      Development checklist for STM32Cube Expansion Packages

      UM2285

      Development guidelines for STM32Cube Expansion Packages

      UM2388

      Development guidelines for STM32Cube firmware Packs

Presentations & Training Material

    • Description Version Size Action
      FP-AI-NANOEDG1 QUICK START GUIDE 1.0
      1.03 MB
      PDF
      Neural Networks on the STM32 with STM32Cube.AI 5.2
      1.18 MB
      PDF
      STM32 and STM8 embedded software solutions 8.0
      3 MB
      PDF
      STM32Cube ecosystem overview - Making STM32 development easier 1.2
      5.55 MB
      PDF

      FP-AI-NANOEDG1 QUICK START GUIDE

      Neural Networks on the STM32 with STM32Cube.AI

      STM32 and STM8 embedded software solutions

      STM32Cube ecosystem overview - Making STM32 development easier

Publications and Collaterals

    • Description Version Size Action
      STM32 Open Development Environment Brochure 17.09
      1.21 MB
      PDF
      Sensor & motion algorithm software pack for STM32Cube 1.0
      544.58 KB
      PDF

      STM32 Open Development Environment Brochure

      Sensor & motion algorithm software pack for STM32Cube

Legal

    • Description Version Size Action
      SLA0048
      Mix Ultimate Liberty+OSS+3rd-party V1 - SOFTWARE LICENSE AGREEMENT
      6.6
      87.58 KB
      PDF
      SLA0048

      Mix Ultimate Liberty+OSS+3rd-party V1 - SOFTWARE LICENSE AGREEMENT