Syntiant Tiny ML Board

The Syntiant TinyML Board is a tiny development board with a microphone and accelerometer, USB host microcontroller and an always-on Neural Decision Processor™, featuring ultra low-power consumption, a fully connected neural network architecture, and fully supported by Edge Impulse. You’ll be able to sample raw data, build models, and deploy trained embedded machine learning models directly from the Edge Impulse studio to create the next generation of low-power, high-performance audio interfaces.The Edge Impulse firmware for this development board is open source and hosted on GitHub.

The Syntiant TinyML Development Board is designed for building low-power, always-on machine learning applications. Powered by the Syntiant NDP101 Neural Decision Processor, it enables efficient execution of deep learning models at the edge. The board supports applications such as speech commands, wake word detection, acoustic event detection, and sensor data processing.

Key Specifications:

Processor: Syntiant NDP101 Neural Decision Processor

Host MCU: ARM Cortex-M0+ with 256KB Flash and 32KB SRAM

Sensors: Onboard digital microphone and 6-axis motion sensor

Connectivity: USB 2.0 Micro-B for data transfer and power

Storage: 2MB onboard serial flash

Power Consumption: <140 µW for speech recognition, <100 µW for sensor applications

Form Factor: 24mm x 28mm

Software Support: Fully supported by Edge Impulse for model development and deployment

This development board is compatible with Arduino MKR series boards and is ideal for developers looking to implement edge AI in battery-powered devices.inux only)Check that the Syntiant TinyML enumerates as “TinyML” or “Arduino MKRZero”.