FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)
FireBeetle 2 ESP32-S3 is a high-performance main controller built around the ESP32-S3-WROOM-1-N16R8 module. ESP32-S3-WROOM-1-N16R8 comes with 16MB Flash and 8MB PSRAM for storing more data. The acceleration for neural network computing and signal processing workloads provided by the ESP32-S3 chip makes the module an ideal choice for a wide variety of applications, such as speech recognition, image recognition, and so on.
FireBeetle 2 ESP32-S3 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, 68° FOV, and up to 1600*1200 resolution. Besides, its onboard, easy-to-connect GDI greatly saves the trouble of wiring for using with a screen. Meanwhile, the controller integrates a power management function, which allows users to charge a Li-ion battery and turn the hardware on/off.
In addition, FireBeetle 2 ESP32-S3 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.
FireBeetle 2 ESP32-S3 can be programmed by Arduino IDE, ESP-IDF, and MicroPython. Both C and Python are supported.
Image recognition
Video picture transmission
FEATURES
- ESP32-S3 module with AI Acceleration
- 16MB Flash & 8MB PSRAM, more storage space
- 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
- 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 x4
- 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
PROJECTS
Project: DIY a plant growth recorder with ESP32 S3
Introduction: I plan to create a DIY plant growth recorder that will allow me to monitor the entire growth process of my plants from seedling to maturity, while tracking environmental conditions throughout.
ESP32 S3 Project - DIY a plant growth recorder with ESP32 S3
DOCUMENTS
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
WARNING
