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Software solution for MEMS sensors with graphical no-code design of algorithms and development of embedded AI features

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Product overview


MEMS-Studio is a complete desktop software solution designed to develop embedded AI features, evaluate embedded libraries, analyze data, and design no-code algorithms for the entire portfolio of MEMS sensors. This unique software solution offers a versatile development environment, enabling the evaluation and programming of all MEMS sensors, and launches a new generation of solutions to expand the functions of the well-established applications Unico-GUI, Unicleo-GUI, and AlgoBuilder.

MEMS-Studio facilitates the process of implementing proof of concept using a graphical interface without writing code for STM32 microcontrollers. This solution allows configuring sensors and embedded AI (machine learning and neural networks), leveraging on a machine learning core (MLC), neural networks for the ISPU, and finite state machines (FSM). It reuses embedded software libraries, combines multiple functionalities in a single project, and visualizes data in real time using plot and display.

MEMS-Studio offers the following user experience:

Sensor evaluation for motion, environmental, and infrared sensors in the MEMS portfolio

Configuration and testing of in-sensor features such as the finite state machine (FSM), machine learning core (MLC), intelligent sensor processing unit (ISPU)

Runtime and offline data analysis

No-code graphical design of algorithms

MEMS-Studio is part of the ST Edge AI Suite, which is an integrated collection of software tools, designed to facilitate the development and deployment of embedded AI applications. This comprehensive suite supports both optimization and deployment of machine learning algorithms and neural network models, starting from data collection to final deployment on hardware, streamlining the workflow for professionals across various disciplines.

The ST Edge AI Suite supports various ST products: STM32 microcontrollers and microprocessors, Stellar microcontrollers, and MEMS smart sensors.

The ST Edge AI Suite represents a strategic move to democratize edge AI technology, making it a pivotal resource for developers looking to harness the power of AI in embedded systems efficiently and effectively.

  • All features

    • Sensor configuration
      • Easy sensor configuration and evaluation
      • Access to the full sensor register map
      • Interrupt status monitoring
    • Sensor data analysis
      • Runtime sensor data visualization charts (line charts, bar graphs, 3D plots, …)
      • Data logging to .csv file
      • Offline data visualization, data labeling, and editing
      • Fast Fourier transform (FFT) analysis of online and offline data
      • Spectrogram analysis of online and offline data
    • Application development
      • Testing of the advanced embedded features (FIFO, pedometer, free fall, …) in the sensor
      • In-sensor AI design and programming for the finite state machine (FSM), machine learning core (MLC), and intelligent sensor processing unit (ISPU)
      • Embedded autoML tool (automatic filter and feature selection) to simplify the MLC configuration process
      • Visualization and data logging of the output of the embedded software libraries
      • Development of no-code algorithms for data processing in STM32 microcontrollers
    • Support for Windows, macOS, and Linux operating systems
    • Network updates with automatic notification of new releases

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Free tools, case studies, and resources to enable edge AI on MCUs, MPUs, and smart sensors.
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