Seeed XIAO BLE nRF52840 Sense

3.500.00 rsd;



Seeed XIAO BLE nRF52840 Sense – TiniML/TensorFlov Lite- IMU / mikrofon – Bluetooth 5.0


  • Powerful CPU: Nordic nRF52840, ARM® Cortex™-M4 32-bit processor with FPU operating at 64 MHz
  • Wireless capabilities: Bluetooth 5.0, NFC, and ZigBee module with onboard Bluetooth antenna
  • Ultra-small size: 21 x 17.5mm, Seeed Xiao series classic form-factor for wearable devices
  • Ultra-low sleep power: 5 μA, deep sleep model
  • Battery charging chip: BQ25101 chip supported lithium battery charge management
  • Rich interface: 1x Reset button, Ix UART, 1x IIC, 1x SPI, 1x NFC, 1x SWD, 11x GPIO, 6x ADC, 1x Three-in-one LED,1x User LED
  • Onboard 2 MB flash makes it programmable via Arduino, MicroPython, CircuitPython or others
  • Onboard digital microphone, real-time acquisition suitable for audio recognition projects
  • Onboard 6-axis IMU which can be applied in TinyML projects like gesture recognition
  • Single-sided components, surface mounting design
  • Ideal for IoT/wearable project
  • Corresponded to TinyML AI project: Sensing, Processing, Communication 3 in 1 Node
  • Compatible with the XIAO expansion board


As the advanced version of the board XIAO BLE, Seeed XIAO BLE Sense has equipped a powerful Nordic nRF52840 MCU which is designed in a Bluetooth 5.0 module, built around 32-bit ARM® Cortex™-M4 CPU with Floating-Point Unit(FPU) operating at 64Mhz. With the capabilities of wireless connection, it still remains the Seeed XIAO series classic form-factor of small and exquisite which can be used for wearable devices and Internet of Things projects. Furthermore, it only costs 5 μA in the deep sleep model and it supports battery charge management because of the BQ25101 chip.


In addition, it carries two extra onboard sensors. One of them is a digital microphone created through Pulse Density Modulation(PDM) module on the nRF52840 chip. It can receive audio data in real-time which allows it can be used for audio recognition. The board can receive audio data through the MSM261D3526H1CPM microphone. The other one is 6-axis Inertial Measurement Unit(IMU) which can be applied in TinyML projects like gesture recognition. These onboard sensors provide a great convenience for users and the ultra-small size feature of the board has still remained.


Same as XIAO BLE, Seeed XIAO BLE Sense contains a wealthy interface. The first thing to note is that the Near Field Communication(NFC) is functional on the board. Secondly, there is a tiny and elegant reset button on one side of the Type-C interface. On the other side, it is designed in a three-in-one LED along with a power LED. There are 11 digital i/o that can be used as PWM pins and 6 analog i/o that can be used as ADC pins. It supports UART, IIC, and SPI all three common serial ports. Same as Seeed XIAO RP2040, it has an onboard 2 MB flash which means it can also be programmed by Arduino, MicroPython, CircuitPython, or other program languages.

If you are interested in programming embedded machine learning, we have Codecraft graphic programming that can help you quickly start your own TinyML project. And we have set up a #tinyml channel on our Discord server, please click to join for 24/7 making, sharing, discussing, and helping each other out. We can do this all day.


Item Seeed XIAO BLE – nRF52840 Seeed XIAO BLE Sense – nRF52840
  Processor   Nordic nRF52840   The same as XIAO BLE
  ARM® Cortex®-M4 with FPU runs up to 64 MHz
  Wireless   Bluetooth 5.0/NFC   The same as XIAO BLE
  On-chip Memory   1 MB flash and 256 kB RAM   The same as XIAO BLE
  Onboard Memory   2 MB QSPI flash   The same as XIAO BLE
  Interface   1xUART, 1xIIC, 1xSPI, 1xNFC, 1xSWD,   The same as XIAO BLE
  11xGPIO(PWM), 6xADC
  Sensors  -   Onboard PDM digital microphone
  Onboard 6-axis IMU
  Dimensions   21 x 17.5mm   The same as XIAO BLE
   Power   Circuit operating voltage: 3.3V@200mA   The same as XIAO BLE
  Charging current: 50mA/100mA
  Input voltage (VIN): 5V
  Standby power consumption:  <5μA


  • Small and flexible wearable device
  • Wifi/Bluetooth controlled wireless connection project
  • Embedded Machine Learning Project
  • IoT and TinyML AI applications
  • Great for mini Arduino projects

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