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
Block Diagram
Front & Back View
Dimensions
Publicado: 2021-10-18
| Actualizado: 2023-07-23