Sensor solution with integrated machine learning core (MLC) to recognize activity, or to categorize audio signals into predetermined classes with Acoustic Scene Classification (ASC)
Features
- Solution for development of wireless IoT devices and wearable sensors with machine learning capabilities
- Includes a wide range of new intelligent, low power MEMS sensors in combination with the STM32L4 low-power microcontroller
- Smartphone STMicroelectronics BLE Sensor app for remote motion and environmental sensor data
- Long-life rechargeable battery
- Out of the box experience with three operating modes: beginner, developer, advanced
Smartphone app examples
- Barometer app
- Compass and level app
- Step counter app
- Baby crying app
- Vibration monitoring app
- Data recorder and vehicle/goods tracking app
- Compensated magnetometer app
Applications / Use Cases
Examples for environmental sensor applications
- Baby crying detection with Cloud AI learning
- Pedometer optimized for belt positioning
- Barometer / environmental monitoring
- Vehicle / goods tracking
- Vibration monitoring
- Compass and inclinometer
- Sensor data logger
Smart baby monitoring system
Distinguishing between normal cry signals and abnormal ones
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