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Smart Sensor with Machine Learning Core for Activity Recognition

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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
Disassembled STMSTEVAL-MKSBOX1V1 smart sensor
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 Monitor - baby on display

Smart baby monitoring system
Distinguishing between normal cry signals and abnormal ones

 

 

SPOT ArtificiaI - Contact us (LC)

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