| Quantity | Unit Price |
| 1 | $100 |
To pre-order your EdgeSense N6, please send us an email at support@calibronic.com
EdgeSense N6 : Unleash TinyML: transform your STM32N6 into a multi-sensor AI powerhouse.
Overview
The EdgeSense N6 is a next-generation expansion board designed for the STM32N6 Nucleo board (NUCLEO-N657X0-Q) to unleash the full potential of TinyML on the edge. Equipped with a rich set of advanced sensors, it empowers developers, researchers, and innovators to create intelligent applications that see, hear, feel, and understand the world around them. From voice assistants to gesture recognition, from environmental awareness to low-power optimization, EdgeSense N6 brings cutting-edge sensing and real-time AI directly to your embedded projects.
Technical Highlights:
- Dual MEMS Microphones – MP23DB01HPTR: Two high-performance MEMS microphones spaced 21 mm apart enable beamforming and directional audio processing. Connected via MDF/ADF digital audio filters, they deliver exceptional sound capture for:
- Speech recognition and sound classification
- Voice assistants and wake-word detection
- ISM330DLCTR 6-Axis IMU: A 3-axis accelerometer + 3-axis gyroscope for precise motion tracking and activity recognition:
- Human Activity Recognition (HAR)
- Gesture and motion control
- Orientation and anomaly detection
- Robotics, healthcare, and wearable monitoring
- VL53L7C 8×8 Time-of-Flight (ToF) Sensor: A multizone 8×8 ToF sensor with a 90° FoV, enabling 3D spatial awareness:
- Gesture and hand motion recognition
- Occupancy and presence mapping
- Smart appliances and user interaction
- Object and movement detection
- STHS34PF80 Infrared (IR) Sensor: A thermal presence detector for advanced human and object recognition:
- Human presence and motion classification
- Sleep monitoring and appliance usage detection
- Human vs. pet differentiation
- Ambient thermal anomaly detection
- BME280 Environmental Sensor: A compact, high-precision sensor measuring temperature, humidity, and pressure, ideal for:
- Environmental condition classification
- Indoor air quality / comfort index estimation
- Tiny forecasting and weather prediction
- Six Zero-Drift Op Amps for Power Measurement: Monitor and optimize energy usage across main voltage rails — including VDDCORE, VDDIO, and VDDA1V8 — to unlock low-power TinyML operation on STM32N6 MCUs.
- MicroSD Card Slot: Store audio, sensor data, images, or videos locally for on-device learning, logging, or replay.
- Raspberry Pi camera + cable: The EdgeSense N6 board comes with a Raspberry Pi camera module and ribbon cable, fully compatible with the STM32N6 Nucleo board. This allows developers to run computer vision algorithms directly on the device, enabling real-time image processing, object detection, and TinyML vision applications .
Bonus: STM32Cube IDE C++ Support:
We understand that finding reliable code for the STM32N6 can be a challenge and often requires trial and error to get things up and running. That’s why we provide a special bonus for everyone who buys the EdgeSense N6 board: EdgeSense N6 comes with full C++ STM32Cube IDE examples for all onboard sensors, making it easy to get started and rapidly prototype applications. This ensures you can focus on building and experimenting with TinyML, computer vision, and sensor fusion, without spending weeks debugging drivers or setup code.