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Seeed Studio XIAO MG24 Sense Development Board(Pre-Soldered) - Silicon Labs EFR32MG24, Matter Native over Thread/BLE 5.3, Arduino Compatible — image 1
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Seeed Studio XIAO MG24 Sense Development Board(Pre-Soldered) - Silicon Labs EFR32MG24, Matter Native over Thread/BLE 5.3, Arduino Compatible

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IoT Development Boards for everyday users

The Seeed Studio XIAO MG24 Sense Development Board(Pre-Soldered) - Silicon Labs EFR32MG24, Matter Native over Thread/BLE 5.3, Arduino Compatible by Seeed Studio is a mid-range iot development boards designed for everyday users. It features Item Type: Development Board and Model No. / Name: MG24.

₹2,199
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Total: ₹2,199
Buying tip: A well-rounded choice at a fair price. Recommended for most buyers.
Estimated delivery: 18 Aug1 Sept
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Quick Specs

Item Type: Development Board
Model No. / Name: MG24
RAM: 256 kB
Processor Type: Arm Cortex-M33
Microcontroller: Silicon Labs EFR32MG24
Storage Capacity: 1536 kB internal Flash, 4 MB external Flash

Ideal For

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SKU: robu-2677119Category: IoT Development Boards

About This Product

The Seeed Studio XIAO MG24 Sense Development Board(Pre-Soldered) - Silicon Labs EFR32MG24, Matter Native over Thread/BLE 5.3, Arduino Compatible by Seeed Studio is a mid-range iot development boards designed for everyday users. It delivers reliable performance at an accessible price.

Key Specifications

  • Item Type: Development Board
  • Model No. / Name: MG24
  • RAM: 256 kB — effortless multitasking
  • Processor Type: Arm Cortex-M33 — smooth, lag-free performance
  • Microcontroller: Silicon Labs EFR32MG24
  • Storage Capacity: 1536 kB internal Flash, 4 MB external Flash — plenty of room for files, apps, and media
  • Length (mm): 21
  • Width (mm): 17.8

Why Buy from Pricio?

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The Seeed Studio XIAO MG24 Sense (Pre-Soldered) is a compact, ultra-low-power MCU development board powered by Silicon Labs’ EFR32MG24 SoC. Development Board is featuring native Matter® protocol support over Thread and BLE 5.3, it is ideal for smart home and IoT applications. With onboard analog microphone and 6-axis IMU, it supports TinyML, edge AI, and gesture recognition.

Its 4MB Flash, 19 GPIOs, integrated antenna, and USB-C interface make it powerful yet compact at just 21x17.8mm. This pre-soldered version enables rapid prototyping for wearables, automation, and embedded projects, and remains compatible with Arduino IDE and the extensive XIAO accessory ecosystem.


Features:

  1. High-Performance MCU: 32-bit ARM Cortex-M33 @ 78MHz
  2. Native Matter® Support: Thread & BLE 5.3 compatible
  3. Ultra-Low Power: Sleep current as low as 1.95μA
  4. Onboard Sensors: 6-axis IMU + analog microphone
  5. Rich Connectivity: 19 GPIOs, UART, SPI, I²C, all PWM
  6. 4MB Additional Flash: External onboard storage
  7. Pre-Soldered & Compact: Thumb-size 21 x 17.8mm
  8. Security Engine: Secure Boot, TrustZone®, RNG & Crypto acceleration

Applications:
  1. Smart Home Devices: Using Matter® for devices like smart locks, sensors, and lighting.
  2. Remote Controls: Low-power remotes for home automation systems
  3. TinyML Applications: On-device machine learning for gesture recognition and voice commands.
  4. Environmental Monitoring: Battery-powered sensors for temperature, humidity, and air quality.

Package Includes:

1 x Seeed Studio XIAO MG24 Sense (Pre-Soldered)

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.