
DFRobot FireBeetle 2 ESP32-S3 (N4)
ESP32-S3 dual-core IoT microcontroller with AI acceleration, WiFi 802.11 b/g/n, BLE 5.0, 26 GPIO pins, 20 ADC channels, USB 2.0 OTG, GDI display interface, lithium battery charging, and stamp-hole PCB design in a 25.4x60mm form factor.
$9.90
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Specifications
Components
Espressif ESP32-S3-WROOM-1-N4 with Xtensa LX7 dual-core at 240MHz, 512KB SRAM, 4MB flash, WiFi 802.11 b/g/n, BLE 5.0, and AI vector extensions.
Overview
The DFRobot FireBeetle 2 ESP32-S3 (N4) (SKU: DFR1145) is a compact IoT development board featuring the ESP32-S3-WROOM-1-N4 module. Powered by the Xtensa LX7 dual-core processor at 240MHz with hardware AI acceleration, it offers a significant upgrade over the ESP32-E variant with native USB 2.0 OTG support, more GPIO pins, and BLE 5.0.
The board exposes 26 digital I/O pins with extensive peripheral multiplexing: 20 ADC channels across two 12-bit SAR ADCs, 3 UARTs, 2 SPI, 2 I2C, 2 I2S, 8 LED PWM channels, and 5+5 IR transceiver channels. The USB 2.0 OTG full-speed interface via USB-C enables the board to act as both USB host and device, opening possibilities for HID devices, USB MIDI, and other USB-native applications. A GDI display interface connector allows quick attachment of compatible displays without wiring.
Power management includes integrated lithium battery charging via the PH2.0 connector (3.7V Li-ion), 5V USB-C input, and a hardware power on/off switch. The stamp-hole edge pads allow direct soldering onto custom PCBs for production deployment. At $9.90, it provides a cost-effective ESP32-S3 platform for IoT, AIoT, and general embedded projects where a camera is not needed.
Use Cases
6IoT
Internet of Things applications including connected sensors, actuators, and smart devices that communicate over WiFi, BLE, LoRa, or other wireless protocols.
Smart Home
Home automation devices for controlling lighting, climate, security, and appliances.
Environmental Monitoring
Monitoring environmental conditions like temperature, humidity, air quality, and weather data using remote sensors.
Battery Powered Sensor Node
Low-power sensor nodes running on battery for wireless data collection and monitoring.
Educational Platform
Development boards suitable for teaching programming, electronics, and embedded systems concepts.
Custom UI Development
Build custom graphical user interfaces for embedded devices using displays, touchscreens, and navigation input.
Resources
Where to Buy
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