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XIAO MG24/MG24-Sense EFR32MG24 Ultra-Low-Power On-Board IMU/Micphone/Antenna For Matter/zigbee/BLE For SeeedStudio For Arduino

$9.9

Brand:Seeed Studio
SKU:090502300000
Date:2025-02-17 15:57
Part Number:
No:
In Stock

XIAO MG24 Sense is an ultra-low-power wireless development board based on Silicon Labs' EFR32MG24 SoC, featuring a high-performance 78MHz ARM Cortex®-M33 core. It‘s Matter® native over Thread® and Bluetooth® Low Energy 5.3, all supported by the Arduino® Core. With 4MB Flash onboard, 19 GPIOs, LED, and charging circuit onboard, it boasts extremely low operating current and ultra-low-power modes, making it an ideal choice for IoT applications, especially battery-powered projects utilizing Matter® protocols. Additionally, the onboard analog microphone and six-axis IMU sensors make XIAO MG24 Sense a great fit for TinyML applications such as posture detection.

【Overview】

[] XIAO MG24 Sense is an ultra-low-power wireless development board based on Silicon Labs' EFR32MG24 SoC, featuring a high-performance 78MHz ARM Cortex®-M33 core. It‘s Matter® native over Thread® and Bluetooth® Low Energy 5.3, all supported by the Arduino® Core. With 4MB Flash onboard, 19 GPIOs, LED, and charging circuit onboard, it boasts extremely low operating current and ultra-low-power modes, making it an ideal choice for IoT applications, especially battery-powered projects utilizing Matter® protocols. Additionally, the onboard analog microphone and six-axis IMU sensors make XIAO MG24 Sense a great fit for TinyML applications such as posture detection.

【Version selection】

【Feature】

[] High Performance MCU: Silicon Labs' EFR32MG24 SoC, 32-bit 78 MHz ARM Cortex®-M33 with DSP instruction

[] Matter Native: Compatible with Matter® over Thread® and Bluetooth® Low Energy 5.3, Supported by the Arduino® Core

[] Outstanding RF Performance: Equipped with an on-board antenna with BLE range up to 50m in an open location with no signal interference, while reserving an interface for external UFL antenna

[] Super-Low Power Design: Power consumption less than 1.95μA in sleep mode, ideal for battery-powered home automation application

[] Advanced Onboard Sensors: Features additional analog microphone and 6-axis IMU for TinyML and edge AI applications such as pose perception for more responsive automation.

[] Security Encrypted On-Chip: A dedicated hardware secure engine containing its own CPU enables the Secure Vault functions.

[] Rich On-Board Resources: Additional 4MB Flash on board, on-board battery charging circuit, 19 GPIOs, LED

[] Classic XIAO Design: Remains the classic XIAO design of the thumb-size form factor of 21 x 17.8mm, and single-sided mount, making it perfect for space-limited projects such as wearables

[] XIAO Accessory Add-ons and Kits Compatibility: Natively compatible with all the XIAO accessory add-ons and kits of Grove Expansion, CAN-Bus, LED Matrix, Vision AI Sensor, Round Display, GSP Module, 2-Mic Array, ePaper Display, mmWave sensor, LoRa Module and many more.
Specification

Product

XIAO MG24

XIAO MG24 Sense

Processor

Silicon Labs EFR32MG24

Silicon Labs EFR32MG24

ARM Cortex-M33 @ 78MHz

ARM Cortex-M33 @ 78MHz

RAM

256kB

256kB

Flash

1536KB + 4MB Onboard

1536KB + 4MB Onboard

LEDs

User LED, 1 Power LED

User LED, 1 Power LED

Sensors

-

 

Onboard Analog Microphone

Onboard 6-Axis IMU

Interface

22 Pins:

11x Analog,11x Digital, 1I²C2x UART, 2x SPI, All PWM

22 Pins:

11x Analog,19x Digital, 1x I²C, 2x UART, 2x SPI, All PWM

Button

1 RESET Button

1 RESET Button

Security

Hardware Cryptographic Acceleration, True Random Number Generator, ARM® TrustZone®, Secure Boot, Secure Debug Unlock etc.

Hardware Cryptographic Acceleration, True Random Number Generator, ARM® TrustZone®, Secure Boot, Secure Debug Unlock etc.

Low power

1.95μA

1.95μA

Normal

6.71mA

6.71mA

Sleep

1.91mA

1.91mA

Software Compatibility

Arduino IDE

Arduino IDE

Working Temperature

-20°C-70°C

-20°C-70°C

Dimensions

21x17.8 mm

21x17.8 mm


Hardware Overview


PinOut


Application

[] Smart Home Devices: Using Matter® for devices like smart locks, sensors, and lighting.

[] Remote Controls: Low-power remotes for home automation systems

[] TinyML Applications: On-device machine learning for gesture recognition and voice commands.

[] Environmental Monitoring: Battery-powered sensors for temperature, humidity, and air quality.


Size