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78MHz Cortex-M33 MCU: Silicon Labs EFR32MG24 processor with FPU, DSP instructions and AI/ML hardware acceleration combines 256KB RAM, 1536KB internal Flash and 4MB additional onboard Flash.
Matter and Multiprotocol Wireless: Supports Matter over Thread, OpenThread, Zigbee, Bluetooth Low Energy 5.3 and Bluetooth Mesh for interoperable smart-home devices, sensors and automation networks.
Integrated TinyML Sensors: Onboard six-axis IMU and analog microphone support posture detection, gesture recognition, sound sensing, voice commands and edge-AI experimentation without separate sensor modules.
Flexible RF and Low-Power Design: Provides an onboard 2.4GHz antenna, U.FL external antenna interface and typical consumption as low as 1.95μA in a properly configured low-power mode.
Pre-Soldered Compact Platform: Pre-installed headers, 19 multifunctional GPIOs, I²C, two UART, two SPI interfaces and a 21 × 17.8mm footprint simplify breadboard prototyping and compact device integration.
The XIAO MG24 Sense is a compact, ultra-low-power wireless development board based on the Silicon Labs EFR32MG24 SoC. It combines a 78MHz Arm Cortex-M33 processor, Matter over Thread, Zigbee, Bluetooth Low Energy 5.3, a six-axis IMU and an analog microphone. Pre-soldered headers make it ready for smart-home prototyping, TinyML development, wearable electronics and battery-powered IoT projects.
Matter over Thread support enables development of interoperable smart-home products such as smart locks, lighting controls, thermostats and wireless sensors. Arduino Core compatibility provides an accessible environment for developing and testing connected applications.
The EFR32MG24 supports Thread, Zigbee, Bluetooth Low Energy 5.3 and Bluetooth Mesh. Its onboard ceramic antenna simplifies compact installations, while the U.FL interface supports a compatible external antenna when required by an enclosure or installation environment.
The integrated six-axis IMU provides acceleration and rotational-motion data for posture detection, gesture recognition, activity monitoring, wearable controllers and responsive home-automation systems.
The onboard analog microphone supports sound detection, voice-command experimentation and audio classification. Combined with the Cortex-M33 processor and hardware AI/ML accelerator, it provides a compact platform for suitable edge-AI and TinyML workflows.
Nineteen multifunctional digital and analog-capable GPIOs support external sensors, displays, relays and actuators. One I²C, two UART and two SPI interfaces provide flexible connectivity for compatible XIAO accessories and custom embedded hardware.
Typical consumption as low as 1.95μA in a properly configured low-power mode supports intermittently active wireless sensors and portable IoT equipment. The integrated charging circuit enables use with a compatible rechargeable lithium battery.
Hardware cryptographic acceleration, a true random-number generator, Arm TrustZone, Secure Boot and secure debugging functions help protect firmware, network credentials and connected-device applications.




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