Nvidia Jetson Nano Quadcopter

All in an easy to use platform that runs in as little as 5 watts.

Nvidia jetson nano quadcopter. Gtc nvidia today expanded the nvidia jetson ai at the edge platform with an entry level developer kit priced at just 59 opening the potential of ai and robotics to a new generation of students educators and hobbyists. The nvidia jetson nano developer kit is a small powerful computer that lets you run multiple neural networks in parallel for applications like image classification object detection segmentation and speech processing. The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices. Today nvidia announced the jetson nano 2gb developer kit the ideal hands on platform for teaching learning and developing ai and robotics applications the nvidia jetson platform introduced six years ago revolutionized embedded computing by delivering the power of artificial intelligence to edge computing devices.

The jetson nano 2gb developer kit is designed for teaching and learning ai by creating hands on projects in such areas as robotics and intelligent iot. I need help and guidance for jetson nano and pixhawk implementation on quadcopter please do not point me towards available solution for tx1 tx2 xavier or pi4 i am exclusively trying to implement with nano. I have used the same jetson nano for jetbots and door camera etc. Unlike the other members of the nvidia jetson family of ai development boards the jetson nano is priced at only 99 usd.

This is a fraction of the cost of most other ai development products. So i am sure there is no problem or issue with jetson nano.