Edge Insights for Vision

ID 772621
Date 9/07/2022

A newer version of this document is available. Customers should click here to go to the newest version.

Get Started Guide using Linux*

This step-by-step guide takes you through installing the Edge Insights for Vision on Linux and introduces you to the Edge Software command line interface from which you manage the Intel® Developer Catalog packages. After you complete this guide you will be ready to use a tutorial.

Refer to the Linux* Requirements section before you get started with installation.

To use these instructions, you must download the Edge Insights for Vision package. The download file name is edge_insights_vision.zip


Save the email message you get when you download the package. Keep this message safe! This message includes a product key that is required to complete the installation. If you do not get the email message, use the Support Forum.

Refer to Modules and Services for the complete list of supported modules. At download time, you can choose the recommended configuration or you can customize your download by selecting modules.

Edge Insights for Vision is delivered as compressed .zip file that is compatible with the operating system you selected during the download. The .zip contains a binary executable file, a manifest file that lists the modules that will be installed, and a readme file.


For PRC Users: We have observed that some modules, such as k3s, cannot be successfully downloaded under PRC network. The installation of those modules will be skipped automatically if PRC network is detected.

See Linux* Troubleshooting if you run into problems installing the software.

After installation, follow the Introduction to the Edge Software Command Line Interface (CLI). This introduces you to the Edge Software command line interface from which you manage the Intel Edge Software Hub packages.

Next, you will be ready to run a tutorial. Get started in your learning journey with Single and Multi-Object Detection with Hardware Acceleration on Linux* and Multi-Camera Detection of Social Distancing on Linux*.