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FireBeetle 2 ESP32-S3 AI Board with OV2640 Camera (Image Recognition, BLE 5)

$19.90
SKU: DFR0975
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  • $19.40 3+ items
  • $19.00 5+ items
  • $18.40 10+ items
High-performance ESP32-S3 microcontroller with camera for image recognition, WiFi/Bluetooth 5 communication, AI acceleration, and user-friendly programming options.
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Introduction

Unleash on-device AI! The DFRobot FireBeetle 2 ESP32-S3 packs an AI accelerator, OV2640 camera support and massive storage into a compact form factor. Perfect for developers building face recognition, object detection, and smart security systems. The board is equipped with 16MB of Flash memory, 8MB of PSRAM, and includes an onboard connector and independent power supply for an OV2640 camera. It also integrates a General Display Interface (GDI) for easy screen connection and a power management unit that supports Li-ion battery charging and hardware ON/OFF control. The board is compatible with the Arduino IDE.


Unmatched AI Vision Capability: Onboard OV2640 Camera (2MP) & ESP32-S3 AI Accelerator

Jumpstart computer vision and image recognition projects (like face detection, object tracking) right out of the box! The included OV2640 camera delivers 1600x1200 resolution with a 68° field of view. The ESP32-S3's built-in AI acceleration hardware dramatically speeds up neural network inference for real-time image processing on the edge, perfect for smart security cameras or interactive installations. No complex camera setup required!

FireBeetle 2 Board ESP32-S3 Image recognition

Image recognition

FireBeetle 2 Board ESP32-S3 Video picture transmission

Video picture transmission


Powerful Processing & Ample Memory for AI Models: Dual-core ESP32-S3 @ 240MHz, 16MB Flash, 8MB PSRAM

Handle complex AI models and data with ease. The Xtensa LX7 dual-core processor provides raw power, while the generous 16MB Flash stores large programs and 8MB PSRAM is essential for holding machine learning models (like TensorFlow Lite Micro) and image buffers. Train and deploy more sophisticated face recognition models or voice command systems directly on the board.

ESP32-S3 Powerful Chip

Powerful Chip

Robust Connectivity & IoT Ready: WiFi 4 (802.11 b/g/n) & Bluetooth 5 LE/Mesh, Matter Support

Connect projects effortlessly to the cloud, smartphones, or other devices. Features stable WiFi (station/AP modes) and energy-efficient Bluetooth 5 with support for Bluetooth Mesh and Espressif WiFi Mesh for large networks. Matter protocol compatibility future-proofs smart home device development. Ideal for remote monitoring and wireless data transmission.


Simplified Development & Power Management: Arduino/MicroPython/ESP-IDF, GDI Display Port, Battery Charging

Get started quickly with popular frameworks: Arduino IDE for simplicity, MicroPython for rapid scripting, or ESP-IDF for maximum control. The onboard GDI port simplifies connecting displays. Integrated power management supports Li-ion battery charging (up to 1A) and features hardware power on/off control for low-power projects and portable applications.


Optimized Design & Reliability: Independent Camera Power, Anti-Interference, Industrial Temp Range

Engineered for performance. The dedicated camera power supply circuit minimizes interference for cleaner image capture. Built to operate reliably in industrial environments (-20°C to 70°C).

Features

  • Image Recognition:Onboard GDI for easy connection with screens
  • Powerful Chips: ESP32-S3 module with AI Acceleration
  • More storage space: 16MB Flash & 8MB PSRAM
  • Onboard camera interface & independent camera power supply, easy to connect and strong anti-interference
  • Power management integrated, support Li-ion battery charging and hardware On/OFF controlling
  • Wi-Fi and Bluetooth 5 dual-mode communication
  • Applications

  • AI-Powered Image Recognition: Build face recognition door locks, object detection systems, product counters, gesture control interfaces, license plate readers.
  • Smart Home & Security: Create intruder detection cameras, pet monitors, smart doorbells with video, environmental sensing (combine with sensors).
  • Industrial IoT & Machine Vision: Develop simple machine vision inspections, QR/barcode scanners, equipment monitoring with visual feedback.
  • Edge AI & TinyML: Deploy on-device TensorFlow Lite Micro models for sensor fusion, anomaly detection, predictive maintenance at the edge.
  • Wireless Video Streaming: Implement low-latency video transmission for FPV projects, remote monitoring feeds (consider bandwidth limits).
  • Voice Control Interfaces: Combine with microphones for local voice command recognition using the AI accelerator.
  • Specification

    Basic Parameters

  • Operating Voltage: 3.3V
  • Type-C Input Voltage: 5V DC
  • VCC Input Voltage: 5V DC
  • Max Charging Current: 1A
  • Operating Temperature: -20 to 70℃
  • Dimension: 25.4x60mm/1x2.36”
  • Hardware Information

  • Processor: Xtensa® dual-core 32-bit LX7 microprocessor
  • Main Frequency: 240 MHz
  • SRAM: 512KB
  • ROM: 384KB
  • Flash: 16MB
  • PSRAM: 8MB
  • RTC SRAM: 16KB
  • USB: USB 2.0 OTG full-speed
  • WIFI

  • WIFI Protocol: IEEE 802.11b/g/n
  • Bandwidth: Support 20 MHz and 40 MHz at 2.4 GHz band
  • WIFI Mode: Station, SoftAP, SoftAP+Station combined mode
  • WIFI Frequency: 2.4GHz
  • Frame Aggregation: TX/RX A-MPDU, TX/RX A-MSDU
  • Bluetooth

  • Bluetooth Protocol: Bluetooth 5, Bluetooth mesh
  • Bluetooth Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
  • Ports

  • Digital I/O x26
  • LED PWM Controller 8 Channels
  • SPI x2
  • UART x3
  • I2C x2
  • I2S x2
  • IR Transceiver: transmit channel x5, receive channel x5
  • 2×12-bit SAR ADC, 20 Channels
  • DMA Controller: transmit channel x5, receive channel x5
  • Shipping List

  • FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller (Supports Wi-Fi & Bluetooth) x1
  • OV2640 Camera x1
  • 18pin-2.54mm Pin Header x1
  • 18pin-2.54mm Female Header x1
  • 14pin-2.54mm Pin Header x1
  • 14pin-2.54mm Female Header x1
  • Resource

    AllProjectsBlogTutorialCourseMedia
    FireBeetle V1 vs V2 (ESP32/ESP8266/Arduino) Development Board Selection Guide

    Blog FireBeetle V1 vs V2 (ESP32/ESP8266/Arduino) Development Board Selection Guide

    DFRobot
    Jun 08, 2025
    Comparisons between FireBeetle ESP32, ESP8266, ESP32 C6, and ESP32 S3

    Blog Comparisons between FireBeetle ESP32, ESP8266, ESP32 C6, and ESP32 S3

    DFRobot
    Sep 25, 2023
    ESP32 Edge AI Camera

    Projects ESP32 Edge AI Camera

    portrait
    Mukesh Sankhla
    Feb 18, 2025
    Multi-Model AI-Based Mechanical Anomaly Detector w/ BLE

    Projects Multi-Model AI-Based Mechanical Anomaly Detector w/ BLE

    portrait
    Kutluhan Aktar
    Feb 09, 2024

    FAQ

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    Review

    Dillon.Simeone Jul 01, 2025

    Literally the power of a thousand sun here! It's wild putting Google's mediapipe onto this, and running edge AI stuff.

    Evan.Khee Jul 26, 2023

    Equipped with the ESP32 espressif chip, it is one of the best in the market currently. I was happy to see that both headers were given for my choice.

    FireBeetle 2 ESP32-S3 AI Board with OV2640 Camera (Image Recognition, BLE 5)
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