FP-AI-SENSING1 is an STM32Cube function pack featuring examples that let you connect your IoT node to a smartphone via BLE and use a suitable Android™ or iOS™ application, like the STBLESensor app, to configure the device.
The package enables advanced applications such as human activity recognition or audio scene classification, on the basis of outputs generated by neural networks (NN). The NN are implemented by a multi-network library supporting both floating and fixed point arithmetics, generated by the X-CUBE-AI extension for STM32CubeMX tool.
The NN provided in this package are just examples of what can be achieved by combining the output of X-CUBE-AI with connectivity and sensing components from ST.
The package comes with an AI utility for data logging and annotation on SD card. You can record the data from the sensors and define which classes or events to record. With the recorded annotated data, you can train your own neural network on your PC/GPU/cloud, get the model, use X-CUBE-AI extension for STM32CubeMX tool for conversion, and then run it on the STM32 platform.
This package, together with the suggested combination of STM32 and ST devices, can be used to develop specific wearable AI applications, industrial predictive maintenance applications, smart things and building applications in general, where ultra-low power consumption is a key requirement.
The software runs on the STM32 microcontroller and includes all the necessary drivers for the STM32 Nucleo development board and expansion boards, as well as for the STEVAL-STLKT01V1 and STEVAL-MKSBOX1V1 evaluation boards and the B-L475E-IOT01A STM32L4 Discovery kit IoT node.