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Created page with "{{InfoBoxTop}} {{AppliesToSBCX}} {{AppliesToAxel}} {{AppliesToAxelLite}} {{AppliesToAxelEsatta}} {{InfoBoxBottom}} {{WarningMessage|text=This technical note was validated agai..."
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{{WarningMessage|text=This technical note was validated against specific versions of hardware and software. It may not work with other versions.}}
== History ==
{| class="wikitable" border="1"
!Version
!Date
!Notes
|-
|1.0.0
|Ocotber 2019
|First public release
|}
==Introduction==
Nowadays, Machine Learning (ML) and Deep Learning (DL) technologies are getting popular in the embedded world as well.
Several different approaches are available to deploy such technologies on embedded devices. This Technical Note (TN) describes such an approach, which makes use of a Tensor Flow model generated with [https://www.customvision.ai Microsoft Azure Custom Vision service].
==Testbed configuration==
The testbed consists of an [[:Category:SBC-AXEL|SBCX Single Board Computer]] equipped with an i.MX6Q-powered [[:Category:AxelLite|Axel Lite]] system-on-module (SoM).
Regarding the software, the board runs the Armbian Buster GNU/Linux distribution, which is described in [[SBCX-TN-004:_Running_Armbian_Buster_(Debian_10)|this TN].
==Test application==
==Performances==
<pre class="board-terminal">
</pre>
{{AppliesToSBCX}}
{{AppliesToAxel}}
{{AppliesToAxelLite}}
{{AppliesToAxelEsatta}}
{{InfoBoxBottom}}
{{WarningMessage|text=This technical note was validated against specific versions of hardware and software. It may not work with other versions.}}
== History ==
{| class="wikitable" border="1"
!Version
!Date
!Notes
|-
|1.0.0
|Ocotber 2019
|First public release
|}
==Introduction==
Nowadays, Machine Learning (ML) and Deep Learning (DL) technologies are getting popular in the embedded world as well.
Several different approaches are available to deploy such technologies on embedded devices. This Technical Note (TN) describes such an approach, which makes use of a Tensor Flow model generated with [https://www.customvision.ai Microsoft Azure Custom Vision service].
==Testbed configuration==
The testbed consists of an [[:Category:SBC-AXEL|SBCX Single Board Computer]] equipped with an i.MX6Q-powered [[:Category:AxelLite|Axel Lite]] system-on-module (SoM).
Regarding the software, the board runs the Armbian Buster GNU/Linux distribution, which is described in [[SBCX-TN-004:_Running_Armbian_Buster_(Debian_10)|this TN].
==Test application==
==Performances==
<pre class="board-terminal">
</pre>
