Bitcraze Crazyflie AI Deck 1.1 w/ GAP8 RISC-V MCU & ESP32 Wi-Fi

BitcrazeSKU: RB-See-1097
Manufacturer #: 114992445

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Sale price £191.80

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  • Bitcraze Crazyflie AI Deck V1.1 w/ GAP8 RISC-V MCU & ESP32 Wi-Fi
  • Add-On Board to enhance Crazyflie 2.1 AI capabilities
  • Equipped with a microcontroller, camera, and microphone
  • Compatible with TensorFlow Lite and Google Edge TPU
  • Features a powerful NVIDIA GPU for executing machine-learning algorithms
  • Accompanied by open-source software for customization and modification

The Bitcraze Crazyflie AI Deck V1.1 w/ GAP8 RISC-V MCU & ESP32 Wi-Fi is an advanced add-on module specifically designed to augment the functionality of the Crazyflie 2.1 quadcopter by integrating artificial intelligence capabilities. This innovative board is equipped with a microcontroller, a camera, and a microphone, and is compatible with TensorFlow Lite and Google Edge TPU.

The AI Deck 1.1 enables onboard inference of machine learning models, thereby supporting a variety of applications, including object detection and classification. The module is further enhanced with a powerful NVIDIA GPU, capable of executing machine-learning algorithms directly on the drone.

Designed for ease of use, the AI Deck 1.1 can be seamlessly integrated with the Crazyflie 2.1 quadcopter. It is accompanied by open-source software, enabling customization and modification of the algorithms to meet specific requirements.

The deck can be programmed using Python, offering several examples to assist with initial setup. Additionally, it features a JTAG port, facilitating debugging and firmware flashing.

The Bitcraze Crazyflie AI Deck 1.1 is a versatile tool suitable for a broad spectrum of applications. It is an exceptional product for those with an interest in machine learning, robotics, and drones.

  • 1x Bitcraze Crazyflie AI Deck V1.1
  • 2x Long pin headers (pin 15mm - plastic 4mm - pin 6mm)

  • 30 x 52 x 8 mm (W x H x D)
  • Microcontroller: ESP32
  • Camera: Himax HM01B0 ultra-low-power 320 monochrome camera
  • Protocol: UART
  • Processor: GAP8 IoT application processor version C
  • MCU: GAP8 – Ultra low power 8+1 core RISC-V MCU
  • Memories: 512 Mbit HyperFlash and 64 Mbit HyperRAM
  • Power supply: 3V - 5V at VCOM up to 300 mA
  • Weight: 4.4 g

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