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→Testbed configuration
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 basic 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 softwareoperating system, the board runs Armbian Buster GNU/Linux distribution, which is described in [[SBCX-TN-004:_Running_Armbian_Buster_(Debian_10)|this TN]]. TensorFlow release is 2.0.0. TensorFlow was built with the proper configuration for the i.MX6 SoC. For more details, please refer to [https://github.com/lhelontra/tensorflow-on-arm this project] by [https://github.com/lhelontra Leonardo Lontra].
==Test application==
