%20IoT%20Microcontroller%20With%20Camera%20(DFRobot)%20-%20DFR0975?unique=8546211)
FireBeetle 2 Board ESP32-S3 (N16R8) IoT Microcontroller With Camera (DFRobot) - DFR0975
The FireBeetle 2 ESP32-S3 is a high-performance main controller based on the ESP32-S3-WROOM-1-N16R8 module. Equipped with an OV2640 camera, this board excels in image recognition applications while offering ample storage and versatile communication interfaces for diverse projects.
Package Includes:
- FireBeetle 2 Board ESP32-S3 (N16R8) ×1
- OV2640 Camera ×1
- 18-pin 2.54mm Pin Header ×1
- 18-pin 2.54mm Female Header ×1
- 14-pin 2.54mm Pin Header ×1
- 14-pin 2.54mm Female Header ×1
Image Recognition
The board includes an onboard camera interface and an independent camera power supply, reducing signal interference. The OV2640 camera provides 2MP resolution, a 68° field of view, and up to 1600×1200 resolution, suitable for smart home monitoring and automated notifications.
Powerful Chip and Storage
The ESP32-S3 chip accelerates neural network computing and signal processing, making it ideal for AI applications like speech and image recognition. With 16MB Flash and 8MB PSRAM, it supports storing more data for faster processing.
Dual-Mode Communication
Supports Wi-Fi and Bluetooth 5 (LE), Bluetooth Mesh, Espressif WiFi Mesh, and Matter protocol. This enables stable, long-range communication for industrial standard smart home devices and AIoT applications.
User-Friendly Features
- Onboard GDI screen interface for simplified wiring
- Integrated power management for Li-ion battery charging and hardware ON/OFF control
- Programmable via Arduino IDE, ESP-IDF, or MicroPython (C & Python support)
Comparison Table
| FireBeetle 2 Board ESP32-S3 (N16R8) | FireBeetle 2 Board ESP32-S3-U (N16R8) |
|---|---|
| Wi-Fi: Soldered on the board | Wi-Fi: Routed through a cable |
| Bluetooth: Soldered on the board | Bluetooth: Routed through a cable |
| Features: Cohesive design, visually appealing | Features: Better signal quality |
Features
- Onboard camera interface & independent power supply
- ESP32-S3 module with AI acceleration
- 16MB Flash & 8MB PSRAM
- Power management with Li-ion battery support
- Wi-Fi & Bluetooth 5 dual-mode communication
Applications
- AIoT projects
- Speech recognition
- Image recognition
Specifications
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℃
- Dimensions: 25.4×60 mm (1×2.36")
Hardware Information
- Processor: Xtensa® dual-core 32-bit LX7
- Main Frequency: 240 MHz
- SRAM: 512KB
- ROM: 384KB
- Flash: 16MB
- PSRAM: 8MB
- RTC SRAM: 16KB
- USB: USB 2.0 OTG full-speed
Wi-Fi
- Protocol: IEEE 802.11b/g/n
- Bandwidth: 20 MHz / 40 MHz at 2.4GHz
- Mode: Station, SoftAP, SoftAP+Station
- Frequency: 2.4GHz
- Frame Aggregation: TX/RX A-MPDU, TX/RX A-MSDU
Bluetooth
- Protocol: Bluetooth 5, Bluetooth Mesh
- Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
Ports
- Digital I/O ×26
- LED PWM Controller 8 Channels
- SPI ×4
- UART ×3
- I2C ×2
- I2S ×2
- IR Transceiver: transmit ×5, receive ×5
- 2×12-bit SAR ADC, 20 Channels
- DMA Controller: transmit ×5, receive ×5
Projects
DIY Plant Growth Recorder
Monitor the growth of plants from seedling to maturity while tracking environmental conditions using the ESP32-S3 board.
Image Recognition
The board includes an onboard camera interface and an independent camera power supply, reducing signal interference. The OV2640 camera provides 2MP resolution, a 68° field of view, and up to 1600×1200 resolution, suitable for smart home monitoring and automated notifications.
Powerful Chip and Storage
The ESP32-S3 chip accelerates neural network computing and signal processing, making it ideal for AI applications like speech and image recognition. With 16MB Flash and 8MB PSRAM, it supports storing more data for faster processing.
Dual-Mode Communication
Supports Wi-Fi and Bluetooth 5 (LE), Bluetooth Mesh, Espressif WiFi Mesh, and Matter protocol. This enables stable, long-range communication for industrial standard smart home devices and AIoT applications.
User-Friendly Features
- Onboard GDI screen interface for simplified wiring
- Integrated power management for Li-ion battery charging and hardware ON/OFF control
- Programmable via Arduino IDE, ESP-IDF, or MicroPython (C & Python support)
Comparison Table
| FireBeetle 2 Board ESP32-S3 (N16R8) | FireBeetle 2 Board ESP32-S3-U (N16R8) |
|---|---|
| Wi-Fi: Soldered on the board | Wi-Fi: Routed through a cable |
| Bluetooth: Soldered on the board | Bluetooth: Routed through a cable |
| Features: Cohesive design, visually appealing | Features: Better signal quality |
Features
- Onboard camera interface & independent power supply
- ESP32-S3 module with AI acceleration
- 16MB Flash & 8MB PSRAM
- Power management with Li-ion battery support
- Wi-Fi & Bluetooth 5 dual-mode communication
Applications
- AIoT projects
- Speech recognition
- Image recognition
Specifications
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℃
- Dimensions: 25.4×60 mm (1×2.36")
Hardware Information
- Processor: Xtensa® dual-core 32-bit LX7
- Main Frequency: 240 MHz
- SRAM: 512KB
- ROM: 384KB
- Flash: 16MB
- PSRAM: 8MB
- RTC SRAM: 16KB
- USB: USB 2.0 OTG full-speed
Wi-Fi
- Protocol: IEEE 802.11b/g/n
- Bandwidth: 20 MHz / 40 MHz at 2.4GHz
- Mode: Station, SoftAP, SoftAP+Station
- Frequency: 2.4GHz
- Frame Aggregation: TX/RX A-MPDU, TX/RX A-MSDU
Bluetooth
- Protocol: Bluetooth 5, Bluetooth Mesh
- Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
Ports
- Digital I/O ×26
- LED PWM Controller 8 Channels
- SPI ×4
- UART ×3
- I2C ×2
- I2S ×2
- IR Transceiver: transmit ×5, receive ×5
- 2×12-bit SAR ADC, 20 Channels
- DMA Controller: transmit ×5, receive ×5
Projects
DIY Plant Growth Recorder
Monitor the growth of plants from seedling to maturity while tracking environmental conditions using the ESP32-S3 board.