파이어비틀 2 보드 인공지능IoT 보드 -카메라, ESP32-S3-U (N16R8)

(FireBeetle 2 Board ESP32-S3-U (N16R8)

AIoT Microcontroller with Camera)

개요

  • 본 제품은 파이어비틀 2 보드 인공지능IoT 보드 -카메라, ESP32-S3-U (N16R8)입니다.
  • SP32-S3-WROOM-1-N16R8 모듈을 기반으로 디자인된 파이어비틀 2 인공지능IoT 보드입니다.
  • ESP32-S3 칩에서 제공하는 신경망 컴퓨팅과 신호처리 기능으로 음성인식, 이미지 인식 등의 인공지능 어플리케이션에 적합한 제품입니다.
  • 2메가 픽셀 OV2640 카메라 모듈이 포함되어 있습니다.

특징

  • SP32-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
  • 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 IDEESP-IDF, and MicroPython. Both C and Python are supported.

  • 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
  • AIoT-related projects
  • Speech recognition
  • Image recognition
  • 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
  • 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

문서


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