FP-AI-CTXAWARE1 - STM32Cube function pack for ultra-low power context awareness with distributed art

Complete firmware to develop a context awareness node with BLE connectivity, digital mICrophone, environmental and motion sensors, performing real-time monitoring of sensors and audio data
Machine Learning Core (MLC) featuring real-time human activity recognition (HAR) generated thanks to Unico-GUI and running on LSM6DSOX
Middleware library generated thanks to STM32CubeMX extension called X-CUBE-AI, featuring example implementation of neural networks for acoustic scene classification (ASC) application
Multi-network support: concurrent execution of the MLC for HAR and the neural network for ASC
Ultra-low power implementation based on the use of an RTOS
Compatible with STBLESensor application for Android/iOS, to perform sensor data reading, audio and motion algorithm feature demo in standalone or combined views, and firmware update over the air (full FOTA)
Sample implementation available for STeval-MKSBOX1V1 evaluation board
Easy portability across different MCU families, thanks to STM32Cube
Free, user-friendly license terms

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