• FireBeetle 2 ESP32-S3 AIoT board with camera.
  • DFRobot FireBeetle
  • ESP32-S3 microcontroller with Wi-Fi, Bluetooth, and camera.
  • DFRobot FireBeetle 2: AIoT development board.
  • AIoT development board.
  • ESP32-S3 board with camera and wireless.
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DFRobot

DFRobot ESP32-S3 (N16R8) FireBeetle 2 Board AIoT Microcontroller Board With Camera, 16MB Flash, 8MB PSRAM, WiFi & Bluetooth Via Cable

DFRobot ESP32-S3 (N16R8) FireBeetle 2 Board AIoT Microcontroller Board With Camera, 16MB Flash, 8MB PSRAM, WiFi & Bluetooth Via Cable

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Rs. 2,546.00
Rs. 2,546.00
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Delivery Time

  • Delivery time with the Express Shipping option is 2-3 working days, and with the Standard Shipping option is 5-6 working days. It varies based on location, reliant on courier services.

  • Delivery time if the order item is on Preorder Status is 15-20 working days.

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  • For COD you have to pay extra charges of Rs 350/- before the shipment. (We will share the company QR Code, UPI ID or Account details for the same)
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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/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

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

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:

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