The Seeed Studio XIAO Nordic nRF52840 Sense Module is a compact yet powerful development board designed for AIoT and sensor-rich applications.
Powered by the advanced Nordic nRF52840 chipset, it offers Bluetooth 5.0 connectivity with low energy consumption, making it highly efficient for IoT, wearables, and smart devices.
This versatile nRF52840 module integrates an onboard IMU and PDM microphone, enabling motion tracking and audio input for embedded Machine Learning projects.
Its small form factor, rich features, and low-power performance make it an excellent choice for developers working on next-generation AI and IoT solutions.
Features:
Versatile Microcontroller: Incorporates the Nordic nRF52840 chip with FPU, working up to 64 MHz, mounted several development ports, supported by Arduino and CircuitPython.
Wireless Capabilities: Support Bluetooth 5.0, BLE functionalities with integrated antenna, and NFC connectivity.
Elaborate Power Design: Uses only 5 μA in deep sleep mode and supports lithium battery charge management.
Advanced onboard functionality: Add a digital microphone and a 6-axis IMU to the compact board for embedded machine learning applications.
Thumb-sized Design: 21 x 17.8mm, Seeed Studio XIAO series classic form-factor, appropriate for wearable devices.
1. How to get started with the Seeed Studio XIAO Nordic nRF52840 Sense Module?
Connect the XIAO Nordic nRF52840 Sense Module to your computer via USB-C and install the required board definitions in the Arduino IDE or CircuitPython environment. This IoT sensor module supports both wireless programming and debugging over BLE, enabling fast iteration. You can begin prototyping immediately using built-in sensors and the TinyML development board capabilities. Make sure to enable the correct port and security permissions for seamless access.
2. How to implement gesture control using the Gesture recognition module?
The onboard Gesture recognition module uses the APDS-9960 sensor to detect hand swipes and proximity events. Use the appropriate library in your Arduino IDE project to capture raw data and map gestures to specific actions. This allows you to build touchless interfaces on your Embedded machine learning board with low latency. For advanced use, combine gesture data with on-device AI models for context-aware responses.
3. How to program the module as a TinyML development board?
Use TensorFlow Lite for Microcontrollers to deploy trained models on this TinyML development board, enabling on-device inference without cloud dependency. The XIAO Nordic nRF52840 Sense Module provides enough RAM and processing power to run lightweight neural networks for audio or motion classification. Convert your model to a C array, include it in your sketch, and let the AIoT development board perform real-time predictions. This is ideal for battery-powered smart sensing applications.
4. How to connect the AIoT development board to other IoT devices?
Leverage the AIoT development board’s Bluetooth 5.0 and BLE support to securely pair with smartphones, gateways, or other Wireless sensor node devices. You can broadcast sensor data or receive commands using standard GATT services or custom profiles. This enables integration into larger IoT network ecosystems for automation, monitoring, or edge coordination. Ensure pairing security is enabled to protect data integrity.
5. How to use the Embedded machine learning board for smart applications?
The Embedded machine learning board allows you to run AI models directly on the XIAO Nordic nRF52840 Sense Module, minimizing response time and preserving privacy. Use it for applications like keyword spotting, anomaly detection, or gesture-based control with local processing only. By combining sensor fusion and TinyML development board frameworks, you create intelligent, low-power AIoT development board solutions. Optimize models for memory and latency to match the nRF52840’s constraints.
6. How to integrate multiple sensors on the IoT sensor module?
The IoT sensor module exposes I2C, SPI, and analog pins, letting you connect external sensors like temperature, humidity, or environmental gas modules. The XIAO Nordic nRF52840 Sense Module can aggregate data from multiple sources and process them alongside its internal sensors. Use interrupt pins or DMA where available to reduce CPU load during high-frequency sampling. This makes it suitable for complex Embedded machine learning board deployments requiring rich input data.
7. How to troubleshoot connectivity issues on the Wireless sensor node?
If the Wireless sensor node fails to connect, first verify that the XIAO Nordic nRF52840 Sense Module is powered stably and the antenna is undamaged. Check that your AIoT development board firmware includes the correct BLE stack and service definitions. Ensure library versions match between your host and the Embedded machine learning board, especially for TinyML development board inference servers. Use a BLE scanner app to confirm advertising and service visibility.
1. What is the Seeed Studio XIAO Nordic nRF52840 Sense Module?
The XIAO nRF52840 Sense Module is an incredibly small and powerful IoT sensor module that's packed with features. It has built-in Bluetooth 5.0 and multiple onboard sensors, making it perfect for your next project. It is an amazing all-in-one solution for anyone interested in building embedded AI projects.
2. Can I use this module for wearable IoT projects?
Yes, this is an ideal choice for your next wearable gadget. Its tiny size and low power consumption make this wearable IoT development board perfect for building smartwatches, fitness trackers, or any other portable IoT devices. You can easily embed it into clothing or accessories.
3. How does the low-power Bluetooth module work?
The integrated low-power Bluetooth module is designed to use very little energy, allowing your projects to run for a long time on a small battery. This efficient wireless communication is perfect for sending sensor data to a phone or computer. It is a key feature for any battery-powered device.
4. Is this suitable for TinyML and embedded machine learning projects?
Absolutely! This versatile TinyML development board is powerful enough to run lightweight machine learning models directly on the device. This makes the embedded machine learning board perfect for creating smart devices that can perform real-time analysis without needing to connect to the cloud.
5. What kind of sensors are integrated into this AIoT development board?
This powerful AIoT development board comes loaded with multiple onboard sensors, including a microphone and a 6-axis accelerometer and gyroscope. These sensors are perfect for a wide range of applications. You can use them for everything from environmental monitoring to gesture recognition.
6. How do I program the XIAO Nordic nRF52840 Sense Module?
You have several great options for programming this IoT sensor module, including the popular Arduino IDE and MicroPython. This flexibility allows developers of all skill levels to easily start building their own custom wireless and AI applications.
7. What applications can I build with this wearable IoT development board?
With this wearable IoT development board, you can build a wide range of exciting projects. Create your own smart wearables like fitness trackers, build a network of IoT sensor modules for home automation, or explore the world of TinyML with custom embedded machine learning projects.
This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.
Warranty Void If:
The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.
