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==The hardware/software platform==
The choice fell on the [https://wiki.dave.eu/index.php/ORCA_SBC ORCA SBC], which is powered by the [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i-mx-applications-processors/i-mx-8-processors/i-mx-8m-plus-arm-cortex-a53-machine-learning-vision-multimedia-and-industrial-iot:IMX8MPLUS|NXP NXP i.MX8M Plus SoC]. This industrial/automotive-grade SoC is built around a 4-core ARM Cortex-A53 CPU and has a rich set of peripherals and systems. It also integrates a 2.3 TOPS Neural Processing Unit (NPU) and native interfaces to connect image sensors making it suited for computer vision applications.
The system software is a Yocto Linux distribution derived from the [https://www.nxp.com/design/software/embedded-software/i-mx-software/embedded-linux-for-i-mx-applications-processors:IMXLINUX NXP 5.4.70_2.3.0] BSP. In addition to the default packages, a number of libraries were added to satisfy the application's requirements.
For convenience, this test was run using an MPEG4 video file as input. Well-known [https://opencv.org/ OpenCV] libraries were used to decompress the video and to retrieve the frames. At the time of this writing, these libraries do did not support i.MX8M Plus's hardware video decoder. As such, it should be taken into account that this task video decompression is carried out by the ARM cores as well. Thus, in the case of a decompressed an uncompressed live stream captured from a camera, it is expected to have further processing headroom for the core computationcomputations.