SKU: IOWC-1352
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DFRobot FireBeetle 2 ESP32-S3 AIoT Board with OV2640 Camera

₹2,729.00 (Inclusive of all taxes)
Out of Stock

The DFRobot FireBeetle 2 ESP32-S3 is an AIoT development board featuring an ESP32-S3-WROOM-1-N16R8 module with 16MB Flash and 8MB PSRAM, an integrated OV2640 camera, and support for Wi-Fi, Bluetooth 5, and Matter protocol. Programmable via Arduino IDE, ESP-IDF, or MicroPython for edge AI and vision applications.

Features

  • ESP32-S3-WROOM-1-N16R8 module with dual-core LX7 processor at 240 MHz, 16MB Flash, and 8MB PSRAM for AI workloads.
  • Integrated OV2640 camera (2MP, 1600×1200) with dedicated power circuit to minimize signal interference.
  • Onboard GDI (Graphical Display Interface) for direct connection to TFT screens without complex wiring.
  • Dual-mode Wi-Fi (802.11b/g/n) & Bluetooth 5 (LE & Mesh) connectivity with support for Matter and Espressif Mesh.
  • Integrated power management for Li-ion battery charging (1A max) and hardware power control.

Out of stock

Description

The DFRobot FireBeetle 2 ESP32-S3 is a feature-rich AIoT microcontroller board designed for embedded computer vision and intelligent edge computing. Built around the Espressif ESP32-S3-WROOM-1-N16R8 module, it leverages the chip’s neural network acceleration and signal processing extensions for real-time image recognition, speech processing, and TinyML applications. The board includes a dedicated camera interface with an independent power supply rail to ensure clean image capture from the included OV2640 sensor.

Connectivity is handled by dual-band Wi-Fi and Bluetooth 5.0 with LE and Mesh protocol support, enabling robust local networking and integration into smart home ecosystems via the Matter standard. The integrated power management circuit supports direct operation from a 3.3V rail or a 5V USB-C input, featuring onboard battery charging and a hardware power switch for portable, battery-powered deployments. Development is streamlined through support for Arduino IDE, ESP-IDF, and MicroPython frameworks.

Key Features

  • AI-accelerated ESP32-S3 dual-core processor with vector instructions for neural network inference.
  • High-capacity memory configuration: 16MB Flash and 8MB PSRAM for storing large models and image buffers.
  • Pre-integrated 2-megapixel OV2640 camera with 68° field of view for immediate vision project development.
  • Onboard Graphical Display Interface (GDI) connector for plug-and-play attachment of compatible TFT displays.
  • Advanced wireless stack supporting Wi-Fi Mesh, Bluetooth Mesh, and the cross-vendor Matter protocol.
  • Comprehensive power system with Li-ion battery charger, load switch, and multiple voltage regulation outputs.
  • Extensive GPIO breakout (26 digital I/O) via included pin headers and female sockets for peripheral expansion.
  • USB 2.0 OTG support for acting as a USB host or device in peripheral mode.

Applications

  • Edge AI and TinyML projects for image recognition, object detection, and person identification.
  • Smart home devices with camera functionality (video doorbells, security sensors) using Matter protocol.
  • Portable battery-powered vision systems for environmental monitoring or data collection.
  • Interactive display projects combining camera input with TFT screen output via the GDI interface.
  • Prototyping wireless mesh networks for industrial sensor nodes with visual data.

Technical Specifications

Microcontroller / SoCEspressif ESP32-S3-WROOM-1-N16R8 (Xtensa® dual-core LX7)
CPU Frequency240 MHz
SRAM512 KB
Flash Memory16 MB
PSRAM8 MB
Wireless ProtocolsWi-Fi 802.11 b/g/n, Bluetooth 5.0 (LE & Mesh)
Camera SensorOV2640 (2 MP, up to 1600x1200 resolution)
Supply Voltage3.3V (Logic), 5V DC (USB-C Input)
Max Charging Current1A
Operating CurrentNot Specified
InterfacesUSB 2.0 OTG, Camera Interface, GDI Display Port, 26x Digital I/O
Antenna ConnectorIntegrated PCB Antenna
Operating Temperature-20°C to 70°C
Dimensions (PCB)60mm x 25mm

Frequently Asked Questions

How do I connect and power the OV2640 camera with the FireBeetle 2 board?

The OV2640 camera module connects directly to the dedicated onboard camera interface connector. The board features an independent camera power supply circuit that reduces noise from other components. Power is supplied via the board's 3.3V rail when the board is powered by USB-C (5V) or the onboard battery management system. No external wiring is required beyond plugging in the camera flex cable.

What software frameworks are supported for programming this board?

The FireBeetle 2 ESP32-S3 is supported by the Arduino IDE using the ESP32 board package, Espressif's official ESP-IDF framework for full feature control, and MicroPython for Python-based scripting. You must install the correct board definitions and USB drivers. The ESP32-S3's AI acceleration instructions are accessible in ESP-IDF and via Arduino libraries like ESP-DSP or TensorFlow Lite Micro.

Can I use this board with a battery, and how does the charging circuit work?

Yes, the integrated power management IC supports a single-cell Li-ion or Li-polymer battery (3.7V nominal) connected via the designated terminals. The onboard charger provides up to 1A charging current from the USB-C port. A hardware power switch allows you to cut all power to the board for zero standby current. The system automatically manages battery voltage regulation to the 3.3V core logic.

What display types are compatible with the onboard GDI interface?

The GDI (Graphical Display Interface) port is designed for direct connection to DFRobot's series of GDI displays, which use a unified pinout for power, SPI, and touch signals. It typically supports SPI-based TFT screens up to [common resolution]. For non-GDI displays, you can use the broken-out GPIO pins and standard Arduino display libraries, but the GDI port simplifies wiring for compatible units.

Package Includes

  • 1 x DFRobot FireBeetle 2 ESP32-S3 (N16R8) AIoT Board
  • 1 x OV2640 Camera Module
  • 1 x 18-pin 2.54mm Male Pin Header
  • 1 x 18-pin 2.54mm Female Header
  • 1 x 14-pin 2.54mm Male Pin Header
  • 1 x 14-pin 2.54mm Female Header

Additional Information

Weight 0.035 kg
Dimensions 8 × 7 × 3 cm