The Ideal Platform for Building Low-Power Voice, Acoustic Event Detection and Sensor Applications

Syntiant Tiny Machine Learning Development Board

More and more devices are being connected to the Internet. Developers and hardware engineers at small and large companies are searching for new user interfaces to be added to a wide range of consumer and industrial IoT products.

 

Syntiant’s Tiny Machine Learning (“TinyML”) Development Board is the ideal platform for building low-power voice, acoustic event detection (AED) and sensor ML applications. Our new developer kit provides access to Syntiant’s technology for anyone who wants to use it, test it, and design with it.

Equipped with the ultra-low-power Syntiant® NDP101 Neural Decision Processor,    the TinyML board packs native neural network computation for the most demanding applications in the lowest power envelope.

In collaboration with Edge Impulse, Syntiant brings this board to the world. Edge Impulse is supporting this hardware. Click here for more details. 

The onboard microphone and BMI160 sensor enable easy configuration for any speech, AED or 6 axis motion- and vibration-related application. Trained models can be easily downloaded on the TinyML board through a micro USB connection without the need for any specialized hardware. The board is shipping with an “Alexa play music” model.

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Key Features 

  • Neural Decision Processor: NDP101 

  • Host processor: SAMD21 Cortex-M0+ 32bit low power ARM MCU, including:

    • 256KB flash memory

    • 32KB host processor SRAM

  • Board power supply: 5V micro-USB or 3.7V LiPo battery

  • 5 Digital I/Os compatible with Arduino MKR series boards

  • 1 UART interface (included in the digital I/O Pins)

  • 1 I2C interface (included in the digital I/O Pins)

  • 2MB on-board serial flash

  • 48MHz system clock

  • One user defined RGB LED

  • uSD card slot (uSD card not included)

  • BMI160 6 axis motion sensor

  • SPH0641LM4H microphone

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