Hackboard Crazyflie AI-Deck V1.1

Seeed Studio Crazyflie AI-Deck V1.1 is based on the GAP8 RISC-V multi-core MCU for the edge purpose of artificial intelligence. The Crazyflie AI-Deck V1.1 features an ultra-low-power GAP8 8+1 core RISC-V processor, 512Mbit HYPERFLASH™, and 64Mbit HYPERRAM™ supporting faster speeds.

The Crazyflie AI-Deck V1.1 includes a ULP grayscale camera and an ESP32 WiFi MCU. The ULP camera allows drones to capture, analyze, and classify their environment. The ESP32-based NINA-W102 WiFi module enables image streaming to a PC.

The Crazyflie AI-Deck V1.1 is the optimal solution in the development of low-power artificial intelligence for drones.

Features

Ultra-low-power GAP8 8+1 core RISC-V processor, 512 Mbit HYPERFLASH™, and 64 Mbit HYPERRAM™ for faster speeds
ESP32-based NINA-W102 Wi-Fi module to stream images to PC
Delivers over 10 GOPS of computing power at exceptionally low power consumption

Capture, analyze, and classify its environment with a ULP camera
Perfect for micro-sized area research with Crazyflie 2.X UAV
Perfect for complex artificial intelligence-based workloads like Convolutional Neural Networks to run onboard and path-finding projects

Specifications

Power supply 3V-5V @ VCOM up to 300mA
1-wire memory for automatic expansion board detection
UART connected between GAP8 and Crazyflie (RX1, TX1)
UART connected between ESP32 (RX2, TX2)
ESP32 sys boot pin connected to Crazyflie (IO_1)
Reset to GAP8 and ESP32 connected to Crazyflie (IO_4)

SPI between GAP8 and ESP32
GAP8 (B1) -> ESP32 (GPIO_5) IO
ESP32 (GPIO_25) -> GAP8 (A13) IO
2 x Cortex-M 10-pin JTAG Interface to program on the GAP8 and ESP32
Can be easily mounted on the Crazyflie V2.1 with the 2 x 10-pin male headers
Button connected to ESP32 for UART bootloader or other actions
Green LED status indicators for GAP8 and ESP32

Hackboard Crazyflie AI-Deck V1.1

Features

Specifications

Block Diagram

Front & Back View

Dimensions

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