The Ultimate Guide to Essential Tech Accessories for the Modern Lifestyle
The Ultimate Guide to Essential Tech Accessories for the Modern Lifestyle The Ultimate Guide to Essential Tech Accessories for the Modern Lifestyle
Home Wireless Internet Wi-Fi Module
FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)

FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)

$ 31.84

$ 31.84

Unavailable
FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)

FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)

$ 31.84

$ 31.84

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Product Details

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, 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 , , and . Both C and Python are supported.


Image recognition



Video picture transmission


Comparison Table

WiFi Soldered on the board Routed through a cable
Bluetooth Soldered on the board Routed through a cable
Features
Cohesive design,
more visually appealing
Better signal quality

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:

    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:

  • Product Includes:

  • 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
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