The Arduino® Nicla Voice packs speech and motion recognition capabilities on the edge into a tiny form factor. The board integrates a dedicated Neural Decision Processor NDP120 empowering multiple AI algorithms simultaneously. Leverage the built-in microphone, nRF52832 microcontroller, Bluetooth® Low Energy module, 6-axis IMU, and 3-axis magnetometer to create your wireless sensor network for machine learning applications with ultra low-power consumption capabilities.
The Arduino® Nicla Voice implements always-on speech and motion recognition on the edge. The board integrates a Neural Decision Processor from Syntiant (NDP120), enabling it to run multiple AI algorithms. It also features a smart 6-axis motion sensor and a magnetometer, making it the ideal solution for ultra-low power predictive maintenance, gesture/voice recognition, and contactless applications. Following the Nicla family, it offers on-board Bluetooth® Low Energy connectivity and is compatible with Nicla, Portenta, and MKR products.
The Nicla Voice can also be battery-powered with long-lasting autonomy being perfect for autonomous power standalone applications.
This application note describes how to identify when intruders are trying to force an entrance door by analyzing surroundings sounds using a Nicla Voice, Machine Learning Tools, and the Arduino IoT Cloud.
Learn to use the Nicla Voice to create your own Machine Learning audio models with this getting started tutorial.
Learn how to create a simple motion detection application with the Arduino® Nicla Voice and the Arduino Cloud Machine Learning Tools powered by Edge Impulse®.
Learn about the hardware and software features of the Arduino® Nicla Voice.