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Nicla Voice

SKU:

02-00011822

Part Number: ABX00061

CompanyArduino Part NumberABX00061

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Description
Specifications

The 22.86 x 22.86 mm Nicla Voice allows for easy implementation of always-on speech recognition on the edge, because it integrates Syntiant’s powerful NDP120 Neural Decision processor to run multiple AI algorithms, leveraging bio-inspired, advanced machine learning to automate complex tasks.

Nicla Voice comes with a comprehensive package of sensors: in addition to its microphone, it features a smart 6-axis motion sensor and a magnetometer, making it the ideal solution for predictive maintenance, gesture/voice recognition and contactless applications.

Nicla Voice offers onboard Bluetooth® Low Energy connectivity to easily interact with existing devices, and is compatible with Nicla, Portenta and MKR products.
Finally, its ultra-low power consumption makes 24/7 always-on sensor data processing possible, with the option of battery-powered standalone operation.

Small enough to fit into wearables or retrofit existing machinery, enabling AI yet requiring minimal energy: Nicla Voice is the “impossible” combination that makes voice recognition on the edge possible – and easier than ever.

Key benefits include:

Powerful processor with integrated Deep Neural Networks in a tiny form factor (22.86 x 22.86 mm)
Integrated microphone, magnetometer and smart 6-axis IMU
Onboard Bluetooth® Low Energy connectivity
Add speech recognition capabilities to your projects
Ultra-low power for 24/7 always-on sensor data processing
Standalone when battery powered
Compatible with Portenta and MKR products

Microprocessor:
- Syntiant® NDP120 Neural Decision Processor™ (NDP):
  - 1x Syntiant Core 2™ ultra-low-power deep neural network inference engine
  - 1x HiFi 3 Audio DSP
  - 1x Arm® Cortex® M0 core up to 48 MHz
Microcontroller:
- Nordic Semiconductor nRF52832:64 MHz Arm® Cortex M4
Sensors:
- High performance microphone (IM69D130)
- 6-Axis IMU (BMI270)
- 3-axis magnetometer (BMM150)
I/O:
- Castellated pins with the following features:
  - 1x I2C bus (with ESLOV connector)
  - 1x serial port
  - 1x SPI
  - 2x ADC
  - Programmable I/O voltage from 1.8-3.3V
Interface:
- External microphone connector (ZIF)
- USB interface with debug functionality
Memory:
- 512KB Flash / 64KB SRAM
- 16MB SPI Flash for storage
- 48KB SRAM dedicated for NDP120
Dimensions: 22.86x22.86 mm
Weight: 2 g
Operating temperature: 0° C to +85° C (32° F to 185°F)
Power:
- High speed USB (500mbps)
- Pin Header
- 3.7V Li-po battery with Integrated battery charger and fuel gauge (BQ25120AYFPR)
Connectivity: Bluetooth® Low Energy (ANNA-B112)

Just say the word

Voice detection and voice recognition can change the way you interact with machines, systems and devices. With always-on sensors – courtesy of low power consumption – all you need is a wake word or trigger sound: no buttons to search for while you are driving, no interfaces to clutter your designs. And Nicla Voice not only hears everything, but understands what sounds mean: thanks to advanced neural processing, it can learn to interpret audio inputs such as passwords and commands.

Tiny but mighty

The Nicla family features Arduino Pro’s smallest form factor to date. This means Nicla Voice can easily be used to upgrade or retrofit existing machines and systems, and is particularly suitable for wearable products such as helmets and smart bands – also thanks to its long, battery-powered autonomy.

More than words

Nicla Vision can handle multiple applications simultaneously to recognize different speakers, pick up on multiple wake-up words and run keyword spotting at the same time. But there’s more than voice commands out there, of course. Nicla Voice can be trained to identify noisy bearings that require maintenance, glass shattering or intruders trying to enter, and more.

Peace and quiet

Nicla Voice lets you tune out in complete safety: integrated into smart headphones, it offers enhanced audio quality with echo-cancellation and noise-suppression features that allow users to focus on their job, spare their ears from loud industrial environments, yet still be warned immediately if an alarm sound is detected.