Name: Crazyflie AI-deck V1.1 – with GAP8 RISC-V MCU & ESP32 Wi-Fi
SKU: 138993

Features

Ultra-low-power GAP8 8 1 core RISC-V IoT application processor built for AI at the edge
Ultra-low-power Himax HM01B0 320×320 greyscale camera to enable autonomous navigation
ESP32-based NINA-W102 Wi-Fi module to stream images to PC
512 Mbit HyperFlash and 64 Mbit HyperRAM for faster speeds
Ability to work standalone by powering the board through VCOM
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

Description

Note

This product is in early access stage. It means that while the hardware is working and tested, the software is still pretty much work in progress. For more information see the

What is Crazyflie?

is a versatile open-source flying development platform that only weighs 27g and fits in the palm of your hand. Crazyflie is equipped with low-latency/long-range radio as well as Bluetooth LE. This gives you the option of downloading an app and using your mobile device as a controller or, in combination with the Crazyradio PA, using your computer to display data and fly with a game controller.

Crazyflie AI-deck 1.1 for super edge computing

Crazyflie AI-deck 1.1 is built around the GAP8 RISC-V multi-core MCU build for AI on the edge purposes. With the GAP8 IoT application processor and the ULP camera, the Crazyflie is able to capture, analyze, and classify its environment. This lightweight and low-power combination opens up many research and development areas for the micro-sized Crazyflie 2.X UAV.

GAP8 delivers over 10 GOPS of computing power at exceptionally low power consumption enabling complex tasks such as path-finding and target following on the Crazyflie, consuming less than 0,1% of the total energy

The AI-deck 1.1 extends the computational capabilities and will enable complex artificial intelligence-based workloads like Convolutional Neural Networks to run onboard, with the possibility to achieve fully autonomous navigation capabilities. The ESP32 adds WiFi connectivity with the possibility to stream images as well as handling control.

Note

To program this board, a compatible JTAG programmer/debugger is needed. Check .