Getting started with AI Vision Solution Kit
If you need detailed information on the kit’s contents, or how to setup the hardware, please refer to Dev Kit Documentation.
Please note, that the daA4200-30mci-JNANO-NVDK Developer Kit and the daA4200-30mci-JNANO-NVDK-AIA AI Solution Kit are two different products, so the installed software packages and their version numbers, as described in the "Debian Packages" section, may differ.
Plug in an ethernet cable to connect the AI Vision Solution Kit with the Internet.
Open a terminal (ctrl + alt + t).
Enter ip address list dev eth0 |grep -w inet to find out the network address of the kit.
You can now unplug the monitor connection to the kit, as it is now finally ready to be accessed from your workstation computer.
Create an AWS account if you don't have one. One can create an AWS account for free. The new user has access to AWS free tier service for the first 12 months. For more information, please visit AWS Free Tier
Then sign-in to the AWS console AWS Sign-in.
Open a terminal session on your workstation computer and change the terminal's current folder to the download location.
Enter scp basler-ai-vision-solution-kit_([major].[minor])_arm64.deb ([username]@[Nano IP]):/tmp/ to transfer the downloaded Solution Kit package file to the Solution Kit.
Enter ssh -t ([username]@[Nano IP]) sudo dpkg -i /tmp/basler-ai-vision-solution-kit_([major].[minor])_arm64.deb to install the updated Solution Kit package file.
Enter ssh -t ([username]@[Nano IP]) ai-vision-solution-kit to initially download the necessary docker containers (about 500MB), prepare the environment and to start the AI Vision Solution Kit software.
The execution of the ai-vision-solution-kit script is interactive and will take some time depending mainly on your internet connection.
Note that you must allow sudo access so the configuration can be done. The script will ask you for credentials, if needed.
In the process you need to enter your AWS Access Key Id and the AWS Secret Access Key to use the cloud connector. They will be stored locally on the Nano for later use.
Note: If you do not want to do this in the part of the process, you can enter random data and use ssh -t ([username]@[Nano IP]) ai-vision-solution-kit store_credentials [AWS Access Key Id] [AWS Secret Access Key] later on to setup the correct AWS credentials. These will be needed to enable the connection to AWS (see step 7 for more details).
How to create a new account - Create and deactivate an AWS account.
Start a web browser on your workstation computer and run the WebGUI using the Nano IP. Checkout Step 2 if you don't know how to find out the Nano IP address.
Wait, until you can press the Play button.
With the Solution Kit, you have the option to send the resulting meta data from your inference-models to the AWS IoT Core. For more details, please refer to this AWS documentation to learn how to get started with the AWS IoT Core.