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Seeed Studio XIAO MG24 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 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 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: Board and Model No. / Name: MG24.

₹1,899
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Total: ₹1,899
Buying tip: A well-rounded choice at a fair price. Recommended for most buyers.
Estimated delivery: 24 Aug7 Sept
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Quick Specs

Item Type: Board
Model No. / Name: MG24
RAM: 128 KB
Processor Type: Silicon Labs EFR32MG24
Microcontroller: EFR32MG24
Storage Capacity: 1024 KB Flash

Ideal For

Everyday convenience
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SKU: robu-2677117Category: IoT Development Boards

About This Product

The Seeed Studio XIAO MG24 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: Board
  • Model No. / Name: MG24
  • RAM: 128 KB — effortless multitasking
  • Processor Type: Silicon Labs EFR32MG24 — smooth, lag-free performance
  • Microcontroller: EFR32MG24
  • Storage Capacity: 1024 KB Flash — plenty of room for files, apps, and media
  • CPU: 32-bit ARM Cortex-M33 — smooth, lag-free performance
  • Length (mm): 21

Why Buy from Elecvora?

Elecvora sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

The Seeed Studio XIAO MG24 (Pre-Soldered) is a compact, ultra-low-power development board built around the Silicon Labs EFR32MG24 SoC. Natively supporting Matter over Thread and BLE 5.3, it enables seamless integration into next-gen smart home and IoT ecosystems. With only 1.95 μA sleep current, it's ideal for battery-powered applications. The onboard antenna ensures stable wireless communication, and its 19 multifunction GPIOs offer flexible connectivity. Fully Arduino-compatible and pre-soldered for convenience, XIAO MG24 empowers developers to create scalable, secure, and energy-efficient Matter-compliant IoT solutions in a tiny footprint.

Features:

  1. Powered by Silicon Labs EFR32MG24 for advanced IoT performance
  2. Native Matter support over Thread and BLE 5.3
  3. Ultra-low sleep current of just 1.95 μA for energy efficiency
  4. Pre-soldered headers for plug-and-play development
  5. On-board PCB antenna for compact wireless communication
  6. 19 multifunction GPIOs including PWM, ADC, I2C, SPI, and UART
  7. Arduino-compatible, beginner-friendly and fast to prototype
  8. Secure, low-latency wireless performance for smart devices

Applications:
  1. Smart Home Automation: Devices like smart lighting, thermostats, and security systems using Matter.
  2. Remote Sensing and Control: Wireless control of devices in automation systems.
  3. Environmental Monitoring: Battery-powered sensors for indoor settings.

Package Includes:

1 x Seeed Studio XIAO MG24 (Pre-Soldered) Development Board

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.