Bluetooth, WiFi 802.11b/g/n, Bluetooth v5.0 Transceiver Module 2.4GHz PCB Trace Surface Mount The ESP32-S3-WROOM-1-N16R8 is a high-performance Wi-Fi + Bluetooth Low Energy (BLE) module developed by Espressif Systems. It is built around the ESP32-S3 SoC, featuring a dual-core Xtensa LX7 32-bit processor running up to 240 MHz. This module integrates 16 MB Flash memory and 8 MB PSRAM, making it suitable for memory-intensive applications such as AI, image processing, and advanced IoT systems. It also includes an onboard PCB trace antenna, RF circuitry, crystal oscillator, and power management components—allowing designers to quickly integrate wireless connectivity into compact embedded designs. Key Features Processing & Memory Dual-core Xtensa LX7 CPU, up to 240 MHz 384 KB ROM, 512 KB SRAM + 16 KB RTC SRAM 16 MB Flash (Quad SPI) 8 MB PSRAM (Octal/Quad SPI) Connectivity 2.4 GHz Wi-Fi (802.11 b/g/n) Bluetooth 5 (LE) + Mesh support Integrated PCB antenna Peripherals & Interfaces Up to 36 GPIOs Interfaces: UART, SPI, I2C, I2S, PWM, ADC, USB OTG Built-in USB Serial/JTAG support Supports touch sensors, timers, watchdogs, CAN (TWAI) Electrical Characteristics Supply voltage: 3.0 V – 3.6 V TX power: up to ~20.5 dBm RX sensitivity: ~-103.5 dBm Operating temp: −40 °C to +65 °C (typical) Advanced Capabilities Optimized for AI acceleration (vector instructions) Suitable for voice recognition, image processing, and edge AI Low-power modes for battery-operated devices| Typical Applications IoT devices and sensor hubs Smart home & home automation AIoT (voice/image recognition) Industrial automation & monitoring Wearables and health devices USB-connected embedded systems #Module #RF-Transceiver #ESP32-S3

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