The FireBeetle 2 ESP32-S3-U is a high-performance IoT controller built around the ESP32-S3-U-WROOM-1-N16R8 module. It features a 240MHz dual-core processor with AI acceleration, 16MB Flash, and 8MB PSRAM for demanding edge-computing tasks like speech/image recognition. The board includes a detachable OV2640 camera (2MP, 1600×1200 resolution) and supports Wi-Fi 4 (802.11 b/g/n) and Bluetooth 5 (LE) dual-mode communication—including Bluetooth Mesh and Matter protocols for industrial smart home applications. Integrated power management enables Li-ion battery charging, while the GDI display interface simplifies screen integration
image recognition
Video picture transmission
Features
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AI Edge Computing:
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ESP32-S3-U chip accelerates neural networks for real-time image/speech recognition.
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Stores more facial models (e.g., smart home security) for faster data comparisons
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Camera System:
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OV2640 sensor (68° FOV) with independent power circuit to reduce signal interference
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Captures 1600×1200 images for monitoring/alert systems (e.g., intrusion detection)
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Connectivity:
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Wi-Fi Mesh and Bluetooth 5 support long-range, multi-device networks.
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Matter protocol ensures cross-brand smart home compatibility
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User-Friendly Design:
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Plug-and-play peripherals: 26x digital I/O, 3x UART, 2x I2C, and GDI display port.
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Programmable via Arduino IDE, ESP-IDF, or MicroPython (C/Python support)
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Specifications
| Category | Details |
|---|---|
| Model | FireBeetle 2 ESP32-S3-U (SKU: DFR0975-U) |
| Processor | Xtensa® dual-core LX7 @ 240MHz |
| Memory | 16MB Flash + 8MB PSRAM + 512KB SRAM |
| Camera | OV2640 (2MP, 1600×1200, 68° FOV) |
| Wireless | Wi-Fi 4 (802.11 b/g/n), Bluetooth 5 LE/Mesh, Matter protocol |
| Power | 5V USB-C input • Li-ion charging (3.7V) • 1A max current |
| I/O Interfaces | 26x GPIO • 3x UART • 2x I2C • 2x SPI • 20x ADC channels |
| Dimensions | 25.4 × 60mm (1 × 2.36") |
| Operating Temp. | -20°C to 70°C |
Applications
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Smart Home: Intrusion alerts via camera + Matter-enabled automation
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Industrial IoT: Machine vision (defect detection) with edge AI processing
- Remote Monitoring: Wi-Fi Mesh networks for wide-area sensor deployments
- Education: MicroPython-based AI/robotics prototyping.
Package Contents
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FireBeetle 2 ESP32-S3-U Board ×1
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OV2640 Camera Module ×1
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External IPEX Antenna ×1
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Pin Headers (18-pin ×2, 14-pin ×2)
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Female Headers (18-pin ×1, 14-pin ×1)
Advantages
- Expandable Storage: MicroSD slot logs image/audio data for offline AI training
- Rapid Prototyping: Pre-soldered headers + Arduino libraries reduce setup time to minutes.
- Low-Power Operation: Deep sleep (10μA) enables months of battery life for field sensors
- Enhanced Signal: External antenna (vs. PCB antenna) extends Wi-Fi/Bluetooth range by ~30% in obstructed areas