Changes

|December 2021January 2022

* Capturing live video streams from professional MIPI CSI-2 camerascamera modules* Hardware-accelerated color space conversion (Graphics Processing Unit, GPU-powered)* Hardware-accelerated real-time inferencing (Neural Processing Unit, NPU-powered)* Hardware-accelerated video encoding (two streamsVideo Processing Unit, VPU)* Hardware-accelerated video decoding (two streamsVideo Processing Unit, VPU)* Hardware-accelerated GUI (Graphics Processing Unit, GPU).

*[https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa2500-60mc-s-mount/ daA2500-60mc]*[https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa3840-30mc-s-mount/ daA3840-30mc]

The camera modules are configured TBDas follows:*camera module #1: daa2500(daA2500-60mc)

*camera module #2: daa3840(daA3840-30mc)** resolution:1280x720**frame rate:30fps

===Social Distancing algorithmStream #1 ===The Camera #1 stream is the one processed by the Social Distancing (SD) algorithm , which is described in detail in [[ML-TN-002_-_Real-time_Social_Distancing_estimation |this document]]. As such, this stream is fed to an NPU-powered neural network. This stream is also color space converted to fulfill the input requirements of the network. In order to offload the ARM Cortex-A53 cores, the conversion is performed by the GPU.  The output stream of the SD algorithm is hardware-encoded before being streamed over a Gigabit Ethernet connection. On the Orca SBC #2 side, the stream is hardware-decoded and visualized on a HDMI monitor.  ===Stream #2===Stream #2 originates at the daA3840-30mc camera module. Then, it is hardware-encoded and streamed by the Orca SBC #1. Finally, it is received by the Orca SBC #2, which hardware decodes and displays it.==GUIapplication==A GUI application runs on the Orca SBC #1 too2 as well. This application is engineered with [https://www.cranksoftware.com/storyboard Crank Storyboard 6] and shows some parameters of the Social Distancing algorithmwhile it operates.The GUI application remotely communicates with the Social Distancing application — which is written in Python — through [https://resources.cranksoftware.com/cranksoftware/v5.3.0/docs/webhelp/index.html#ww_sbio.html Storyboard IO API]. According to official documentation, ''the Storyboard IO API, formerly known as GREIO, provides a platform independent communication API that allows inter-task and inter-process queued message passing. This is primarily used to allow external communication with a Storyboard application''. For more details, please see [https://support.cranksoftware.com/hc/en-us/articles/360056943752-Receiving-Events-from-a-Storyboard-Application this article]. = Testing =Functional tests were conducted in an environment that mimics a real-world scenario. The goal is to use the SD algorithm for people detection in a hazardous area where a cobot operates and thus where only authorized personnel are allowed to enter — the cobot shown below is part of the actual [https://en.wikipedia.org/wiki/Automatic_test_equipment ATE] test-benches of DAVE Embedded Systems manufacturing department. Orca SBC #1 is installed in the proximity of the cobot, while Orca SBC #2 is located in a different room where human operators can monitor the test bench remotely. Of course, advanced notification mechanisms could be also implemented in order to alarm operators if people are detected in the hazardous area. {| class="wikitable" | width="100%"| {{#ev:youtube|EMvh6gMmpXQ|600|center|Simultaneous dual video capturing and encoding plus Machine Learning People detector on NXP i.MX8MP|frame}}|}