Difference between revisions of "Edge AI SDK/User Guide 300 windows"

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(Installation)
(How to Quickly Start Vision AI)
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== How to Quickly Start Vision AI ==
 
== How to Quickly Start Vision AI ==
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Step 1. Go to the “Quick Start (Vision AI)” page, as shown below.
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[[File:eas-windows-visionai-1.png|600px]]
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Step 2. Choose one application you want to activate and then confirm inference info, as shown below.
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( 1. Object detection, 2. Face detection )
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Step 3. Choose your video source which could be video clips or the USB Camera, as shown below.
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'''Video&nbsp;'''<span style="color:#c0392b;">( Note: .MP4 only )</span>
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&nbsp;
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'''or USB Camera&nbsp;'''
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&nbsp;
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Step 4. Choose one of the acceleration chipsets to execute selected inference application, as shown below.
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( <span style="color:#c0392b;">Note:&nbsp; The available accelerator chipsets&nbsp;depend on your AI system&nbsp;and accelerator card.</span> )
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&nbsp;
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Step 5. Another window will pop up to show the AI inference, as shown below.

Revision as of 08:47, 18 September 2025

Installation

Install

NOTE:

  • Go into Folder 1:
 - Internet connection required. 
 - Run install.bat (with administrator privileges).
 - System will need reboot after installation.
 
   
  • Go into Folder 2:
 - Run install.bat (with administrator privileges)



Quick Guide

Edge AI SDK caters to users who are comfortable with the machine learning (ML) experience. It can quickly evaluate computing performance for the CPU or GPU, or NPU,and provides runtime results inferenced with ML.

Dduble click the icon ( Edge AI SDK - shortcut ) on the Destop to start the Edge AI SDK App.

Desktop-eas-shortcut.png


Then press the Agree button to proceed.

EAS-windows-EUAL.png


How to Quickly Start Vision AI

Step 1. Go to the “Quick Start (Vision AI)” page, as shown below.

Eas-windows-visionai-1.png

 

Step 2. Choose one application you want to activate and then confirm inference info, as shown below.

( 1. Object detection, 2. Face detection )


 

Step 3. Choose your video source which could be video clips or the USB Camera, as shown below.

Video ( Note: .MP4 only )


 

or USB Camera 


 

Step 4. Choose one of the acceleration chipsets to execute selected inference application, as shown below.

( Note:  The available accelerator chipsets depend on your AI system and accelerator card. )


 

Step 5. Another window will pop up to show the AI inference, as shown below.