STM32 AI Solutions

ST provides a complete set of tools to implement edge AI on STM32 MCUs, MPUs and smart sensors, bringing intelligence to many solutions in a simple, fast and low-cost way, such as: predictive maintenance, IoT products, smart buildings , asset tracking, people counting, and more.

Applications

Through the embedded AI, it is easy to enhance the application, open up new application possibilities, and unlock the inclusiveness of AI applications. ST provides a wealth of application cases, covering smart cities, smart homes, entertainment, toys, smart buildings, transportation, smart office, industry, home appliances and other fields. Users can explore these inspiring real-world examples and use ST's resources to create their own applications.

Applications

Through the embedded AI, it is easy to enhance the application, open up new application possibilities, and unlock the inclusiveness of AI applications. ST provides a wealth of application cases, covering smart cities, smart homes, entertainment, toys, smart buildings, transportation, smart office, industry, home appliances and other fields. Users can explore these inspiring real-world examples and use ST's resources to create their own applications.

NanoEdge AI Studio: Automated Machine Learning Tool for STM32 MCUs

NanoEdge AI Studio is an easy-to-use desktop tool that adds new data processing capabilities to enhance products. Any use case that involves outlier/anomaly detection, classification, or prediction of future states using regression techniques can leverage the power of machine learning. NEAI Studio can create custom libraries optimized for any STM32 in minutes to analyze signals and increase product intelligence.

With NanoEdge AI Studio, users can easily generate machine learning libraries containing millions of pre-built models for embedded devices. This means there is no need to collect and record large and complex data sets. Users' models can also train themselves on their own devices.

STM32Cube.AI: AI model optimizer for STM32 MCUs

STM32Cube.AI is a free tool that helps optimize the performance and memory footprint of trained AI models in STM32 projects. It supports TensorFlow? Lite, Keras and ONNX formats. If the user has AI knowledge, STM32Cube.AI will automatically optimize the trained artificial neural network and generate corresponding C code for the STM32 microcontroller.

AI for LINUX: A complete AI framework for OpenSTLinux on STM32 MPU

For developers using STM32 MPUs, X-LINUX-AI is a collection of libraries and runtimes that simplify the integration of trained AI models in OpenSTLinux-based projects. ST has developed a complete framework for developers using OpenSTLinux, allowing users to easily integrate AI models.

STM32 hardware: Various ICs and boards for AI at the edge

ST offers a wide range of microcontrollers, microprocessors and smart sensors for developing edge AI applications optimized for power, size and cost.

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