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

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

DFRobot - Waterproof Mirror Reflection Photoelectric Sensor Switch (10~100cm)

DFRobot - Waterproof Mirror Reflection Photoelectric Sensor Switch (10~100cm)

DFRobot - FireBeetle 2 Board ESP32-S3-U (N16R8) AIoT Microcontroller with Camera (16MB Fl., 8MB PS., Wi-Fi & BT via Cable)

£18.95 £15.79
  • Image Recognition: Onboard camera interface & independent camera power supply, easy to connect and strong anti-interference
  • Powerful Chip: ESP32-S3 module with AI Acceleration
  • More storage space: 16MB Flash & 8MB PSRAM
  • Power management integrated, support Li-ion battery charging
  • Onboard GDI for easy connection with screens
  • Wi-Fi and Bluetooth 5 dual-mode communication
SKU
DF-DFR0975-U

Introduction

FireBeetle 2 ESP32-S3-U is a high-performance main controller featuring the ESP32-S3-U-WROOM-1-N16R8 module. It includes a 240 MHz Xtensa® dual-core LX7 microprocessor with AI acceleration, 16MB Flash, and 8MB PSRAM. The board comes with a detachable OV2640 camera (2MP) and features an onboard camera interface with an independent power circuit. It supports dual-mode communication via WiFi (802.11 b/g/n) and Bluetooth 5 (LE), including Bluetooth Mesh and Matter protocols. It integrates power management for Li-ion battery charging. Peripherals include 26 digital I/O, an onboard GDI display interface, 3x UART, and 2x I2C. The board is programmable with Arduino IDE, ESP-IDF, and MicroPython.

Image Recognition

FireBeetle 2 ESP32-S3-U offers an onboard camera interface for easy connection with a camera. Also, an independent camera power supply circuit is designed, which helps reduce interference from other signals to the camera. The board comes with an OV2640 camera that offers 2 megapixels, a 68°FOV, and up to 1600*1200 resolution.

For instance, in a smart home scenario, the board's camera can be utilized to monitor the situation at home. When someone enters, it can automatically send notifications and store the captured image data for reporting purposes.

FireBeetle 2 Board ESP32-S3-U Image recognition

Image recognition

FireBeetle 2 Board ESP32-S3-U Video picture transmission

Video picture transmission

Powerful Chips and More Storage Space

The acceleration for neural network computing and signal processing workloads provided by the ESP32-S3-U chip makes the module an ideal choice for a wide variety of applications, such as speech recognition, image recognition, and so on.

For instance, when training for facial recognition, it is possible to store a greater number of facial models. This allows for faster results when conducting data comparisons.

ESP32-S3 Powerful Chip

Powerful Chip

Dual-Mode Communication

In addition, FireBeetle 2 ESP32-S3-U supports WiFi and Bluetooth 5 (LE) dual-mode communication, which reduces the difficulty of networking. Meanwhile, both Bluetooth Mesh protocol and Espressif WiFi Mesh are supported for more stable communication and a larger coverage area. With the support of Matter protocol, the microcontroller can be used to develop industrial standard smart home devices for a wider range of IoT and AIoT (Artificial Intelligence of Things) scenarios.

User-Friendly

This development board is designed to be user-friendly, addressing the complexity of screen wiring through its onboard GDI screen interface. Additionally, it integrates power management features, supporting battery charging and hardware power control. The FireBeetle 2 ESP32-S3-U can be programmed using the Arduino IDE, ESP-IDF, and MicroPython, allowing developers to utilize both C and Python to interact with the hardware.

Features

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

Applications

  • AIoT-related projects
  • Speech recognition
  • Image recognition

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-U (N16R8) x1
  • OV2640 or OV3660 camera x1 (randomly shipped)
  • 2.4GHz WIFI&BLE Antenna 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

Documents

Certifications

  • CE CE
  • RoHS RoHS
More Information
Manufacturer DFRobot
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