Seeed Studio Studio XIAO nRF52840 Sense TinyML BLE 5.0 Dev Board w/ IMU & Mic
Seeed Studio Studio XIAO nRF52840 Sense TinyML BLE 5.0 Dev Board w/ IMU & Mic - Image 2
Seeed Studio Studio XIAO nRF52840 Sense TinyML BLE 5.0 Dev Board w/ IMU & Mic - Image 3
SKU: IOWC-0144
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Seeed Studio Studio XIAO nRF52840 Sense TinyML BLE 5.0 Dev Board w/ IMU & Mic

₹1,859.00 (Inclusive of all taxes)
Out of Stock

The Seeed Studio Studio XIAO nRF52840 Sense is a thumb-sized, ultra-low-power development board built around the Nordic Semiconductor nRF52840 SoC, featuring Bluetooth 5.0/BLE, an onboard 6-axis IMU, and a PDM microphone, optimized for TinyML and embedded AI applications on Arduino and TensorFlow Lite.

Features

  • Nordic Semiconductor nRF52840 SoC: ARM Cortex-M4F processor running at 64 MHz with 1MB Flash and 256KB RAM for robust BLE 5.0 and NFC applications.
  • Integrated Motion & Sound Sensing: Onboard 6-axis IMU (accelerometer/gyroscope) and digital PDM microphone enable immediate sensor fusion projects.
  • Ultra-Low Power Operation: Supports deep sleep currents as low as 5μA with integrated lithium battery charge management for wearable and portable IoT.
  • Compact, Wearable Form Factor: Classic XIAO series footprint of just 21 x 17.5mm, designed for space-constrained and wearable device integration.
  • TinyML & AI-Ready: Directly compatible with TensorFlow Lite for Microcontrollers and Arduino IDE for rapid prototyping of edge AI inference models.

Out of stock

Description

The Seeed Studio Studio XIAO nRF52840 Sense is a highly integrated, power-efficient development platform centered on the Nordic Semiconductor Semiconductor nRF52840 system-on-chip. It combines a capable 64 MHz ARM Cortex-M4F processor with floating-point unit, comprehensive Bluetooth 5.0 Low Energy and NFC wireless stacks, and critical onboard sensors—a 6-axis inertial measurement unit and a digital microphone—into a miniature 21 x 17.5mm footprint. This convergence of processing, connectivity, and sensing makes it an ideal hardware foundation for embedded machine learning (TinyML), wearable tech, and low-power IoT nodes.

Engineered for battery-operated scenarios, the board features an advanced power management system supporting deep sleep modes drawing just microamps, alongside a built-in lithium-polymer battery charging circuit. Its extensive I/O set, including UART, I2C, SPI, ADC channels, and PWM-capable GPIOs, provides flexible interfacing for peripherals. The integrated chip antenna simplifies RF design, while the SWD debug interface ensures streamlined firmware development and deployment using popular frameworks like Arduino, PlatformIO, and the nRF Connect SDK.

Key Features

  • BLE 5.0 & NFC Connectivity: Enables robust, low-power wireless communication for peer-to-peer networks, beacons, and contactless interactions.
  • Onboard Sensor Suite: Integrated LSM6DS3 6-axis IMU and MP34DT05 digital PDM microphone allow for immediate motion tracking and audio capture without external components.
  • TinyML Optimized Hardware: The M4F processor and ample memory are tailored for running TensorFlow Lite models directly on the edge for gesture recognition, audio classification, and anomaly detection.
  • Wearable-Focused Design: Ultra-compact size and ultra-low-power profile make it perfect for smart watches, fitness bands, and health monitoring patches.
  • Comprehensive Development Support: Fully supported by Arduino Core, PlatformIO, and Nordic Semiconductor's own nRF Connect SDK, with extensive libraries for sensors and BLE services.
  • Rich Peripheral Interfaces: Offers multiple serial protocols (UART, I2C, SPI), analog inputs, and digital GPIOs for expanding functionality with displays, actuators, or other sensors.

Applications

  • Wearable Technology: Smartwatches, fitness trackers, and health monitoring devices.
  • TinyML & Edge AI: On-device gesture recognition, keyword spotting, and anomaly detection.
  • IoT Sensor Nodes: Low-power environmental monitoring and data logging with wireless BLE uplink.
  • Interactive Prototypes: BLE-controlled gadgets, NFC tags, and interactive art installations.
  • Educational Tools: Hands-on learning platform for embedded systems, wireless communication, and machine learning.

Technical Specifications

Microcontroller / SoCNordic Semiconductor nRF52840 (ARM Cortex-M4F with FPU @ 64 MHz)
Wireless ProtocolsBluetooth 5.0 Low Energy (BLE), NFC
Onboard Sensors6-axis IMU (LSM6DS3), Digital PDM Microphone
Memory1 MB Flash, 256 KB RAM
Supply Voltage3.3V (Operating), Integrated Li-Po Charger
Operating Current~5 μA (Deep Sleep Mode)
Interfaces1x UART, 1x I2C, 1x SPI, 1x NFC, 11x GPIO (PWM), 6x ADC, 1x SWD Debug
AntennaIntegrated PCB Chip Antenna
Dimensions21 mm x 17.5 mm
Development FrameworksArduino IDE, PlatformIO, TensorFlow Lite for Microcontrollers, nRF Connect SDK

Frequently Asked Questions

How do I program the XIAO nRF52840 Sense board using the Arduino IDE?

First, install the Seeed Studio Studio nRF52 boards package via the Arduino Board Manager. Connect the board via USB, select 'Seeed Studio XIAO nRF52840 Sense' as your target, and use the onboard SWD debug port for programming. You can utilize the extensive Arduino BLE and sensor libraries to access the IMU, microphone, and wireless features directly. Ensure you have the latest board definitions for full peripheral support.

What is the power consumption in active and sleep modes, and how is battery charging managed?

During active processing with radio on, current draw is in the milliampere range. In deep sleep mode, the board can achieve currents as low as 5 microamps. The integrated battery management circuit allows direct connection of a single-cell Li-Po battery to the 'BAT' pin, providing charging via the USB-C port. Monitor voltage through a dedicated ADC channel for battery level tracking in your firmware.

Can I use this board for TensorFlow Lite for Microcontrollers (TinyML) projects?

Yes, the XIAO nRF52840 Sense is an excellent platform for TinyML. Its Cortex-M4F processor supports CMSIS-NN optimizations, and the onboard IMU and microphone provide ready-made data sources. You can collect sensor data, train a model using TensorFlow, convert it to a TensorFlow Lite Micro format, and deploy it directly onto the board's flash memory using either the Arduino_TensorFlowLite library or PlatformIO.

How do I connect an external antenna, and what is the BLE range with the built-in chip antenna?

The board uses an integrated PCB chip antenna; there is no external RF connector for an alternate antenna. The typical BLE range in open space with the chip antenna is approximately 10-30 meters, depending on environmental factors. For extended range, ensure optimal board placement and consider RF front-end tuning. The NFC antenna is also integrated into the PCB layout for short-range communication.

Package Includes

  • 1 x Seeed Studio Studio XIAO nRF52840 Sense Development Board

Additional Information

Weight 0.003 kg
Dimensions 2.1 × 1.7 cm

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