BinKey

seeed-xiao-mg24-sense

4 min read

Important Note

This entire repo was AI created - including all of the data within. The intent was to A) help me with my personal electronics inventory; and B) see how I could use AI to make that process a bit easier. DO NOT TRUST!

Seeed Studio XIAO MG24 Sense

Details

Description

Seeed Studio 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 with built-in AI/ML hardware accelerator. It’s Matter native over Thread and Bluetooth Low Energy 5.3, making it ideal for next-generation IoT applications. The Sense variant includes a 6-axis IMU and analog microphone for TinyML applications.

Specifications

  • Part Number: 102010610
  • Microcontroller: Silicon Labs EFR32MG24
  • Architecture: ARM Cortex-M33 32-bit RISC
  • Clock Speed: 78MHz
  • Operating Voltage: 3.3V
  • Flash Memory: 1536KB + 4MB external
  • RAM: 256KB
  • Dimensions: 21.0mm x 17.8mm x 3.5mm
  • Weight: ~2.5g

Image

Seeed Studio XIAO MG24 Sense

Features

  • ARM Cortex-M33: High-performance 78MHz processor with DSP and FPU
  • AI/ML Accelerator: Built-in MVP (Matrix Vector Processor) for AI workloads
  • Matter Native: Native support for Matter over Thread and Bluetooth LE
  • Ultra-Low Power: Deep sleep as low as 1.95μA
  • Rich Connectivity: Thread, Zigbee, Bluetooth LE 5.3, Bluetooth Mesh
  • Built-in Sensors: 6-axis IMU (LSM6DS3TR-C) and analog microphone (MSM381ACT001)
  • Excellent RF: +19.5dBm TX power, -105.4dBm RX sensitivity
  • Security: Secure Vault with secure boot, encryption, tamper protection

Pin Configuration

  • Digital I/O: 18 GPIO pins
  • Analog Inputs: 18 pins (12-bit 1Msps ADC)
  • PWM: All GPIO pins support PWM
  • I2C: 1 port
  • SPI: 2 ports
  • UART: 2 ports + 2 low-power UART
  • Special: Temperature sensor, analog comparator

Power Specifications

  • Operating Voltage: 3.3V
  • Input Voltage: 5V (USB-C) or 3.7V (battery)
  • Current Consumption:
    • Normal: 6.71mA @ 3.7V
    • Sleep: 1.91mA @ 3.7V
    • Deep Sleep: 1.95μA @ 3.7V
  • Battery Charging: 200mA charging current
  • Power Management: Multiple ultra-low power modes

Wireless Capabilities

Matter & Thread

  • Matter: Native Matter support over Thread
  • Thread: IPv6-based mesh networking
  • Range: 100m+ line of sight
  • Mesh: Self-healing mesh network

Bluetooth

  • Version: Bluetooth LE 5.3
  • Protocols: BLE, Bluetooth Mesh
  • Range: Up to 10m
  • Power: Ultra-low power operation

Other Protocols

  • Zigbee: PRO/Green Power protocols
  • Proprietary: 2.4GHz custom protocols

Built-in Sensors

6-Axis IMU (LSM6DS3TR-C)

  • Accelerometer: ±2/±4/±8/±16g
  • Gyroscope: ±125/±250/±500/±1000/±2000dps
  • Interface: I2C/SPI
  • Features: Motion detection, step counting

Analog Microphone (MSM381ACT001)

  • Type: MEMS analog microphone
  • Sensitivity: High-quality audio capture
  • Applications: Voice recognition, sound detection

AI/ML Capabilities

  • MVP Accelerator: Matrix Vector Processor for AI workloads
  • TinyML: Optimized for machine learning inference
  • Applications: Gesture recognition, voice commands, sensor fusion
  • Frameworks: TensorFlow Lite Micro support

Applications

  • Matter-enabled smart home devices
  • Thread mesh sensor networks
  • TinyML edge AI projects
  • Gesture and voice recognition
  • Ultra-low power IoT sensors
  • Zigbee automation systems
  • Bluetooth mesh networks
  • Posture detection and monitoring

Programming

  • Arduino IDE: Full support with Silicon Labs board package
  • Matter SDK: Native Matter development
  • Simplicity Studio: Silicon Labs professional IDE
  • PlatformIO: Cross-platform development
  • TinyML: Machine learning frameworks

XIAO Ecosystem

  • Form Factor: Compatible with all XIAO accessories
  • Expansion Boards: Grove Base, Expansion Board
  • Shields: Various XIAO-compatible shields available
  • Community: Large XIAO developer community

Advantages

  • Matter Native: Future-proof IoT connectivity
  • Ultra-Low Power: Excellent for battery applications
  • AI Acceleration: Built-in ML processing capabilities
  • Rich Sensors: IMU and microphone for advanced applications
  • Excellent RF: Superior wireless performance
  • Security: Hardware-level security features
  • Compact Size: Smallest Matter-enabled development board

Hardware Features

  • USB-C: Modern connector for programming and power
  • Battery Connector: JST connector for lithium battery
  • Reset Button: Convenient program restart
  • User LED: Built-in status indicator
  • Charging LED: Battery charging status indicator

Comparison with Other XIAO Boards

  • vs ESP32S3: Matter/Thread vs WiFi/Bluetooth, AI accelerator
  • vs ESP32C3: ARM vs RISC-V, Matter native, built-in sensors
  • vs SAMD21: Wireless connectivity vs USB native, AI capabilities

Notes

  • First XIAO board with native Matter support
  • ARM Cortex-M33 with hardware AI acceleration
  • Built-in sensors make it perfect for TinyML applications
  • Ultra-low power consumption ideal for battery projects
  • Matter over Thread enables interoperable smart home devices
  • Compatible with XIAO ecosystem accessories
  • Excellent for learning Matter and Thread protocols
  • Perfect for next-generation IoT applications

Tags

microcontroller, mg24, matter, thread, zigbee, bluetooth, xiao, seeed, ultra-low-power, tinyml, ai, imu, microphone

Graph View

Backlinks