Description:

This is DFRobot FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with a 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 use 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.

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
• Dimension: 25.4x60mm/1×2.36

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
• 212-bit SAR ADC, 20 Channels
• DMA Controller: transmit channel x5, receive channel x5

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 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

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.

Useful Links:

• Product wiki
• ESP32-S3-WROOM-1 Datasheet
• ESP32-S3 Chip Datasheet
• Schematics
• Dimension

Package Included:

• 1 x FireBeetle 2 Board ESP32-S3-U (N16R8)
• 1 x OV2640 Camera
• 1 x 2.4GHz WIFI&BLE Antenna
• 1 x 18pin-2.54mm Pin Header
• 1 x 18pin-2.54mm Female Header
• 1 x 14pin-2.54mm Pin Header
• 1 x 14pin-2.54mm Female Header