Overview

How It Works

Docker Container
This module verifies that the EI for AMR comes as a Docker container and it can run on the target platform.
For more information, go to the Docker website.
The test is considered Pass if:
The Docker container can be opened.
Intel® RealSense™ Camera
This module verifies the capabilities of the Intel® RealSense™ technology on the target platform.
For more information, go to the Intel® RealSense™ website.
The tests within this module verify that the following features are installed properly on the target platform and that EI for AMR and the Intel® RealSense™ camera are functioning properly:
The camera is detected and is working.
Intel® RealSense™ SDK.
The tests are considered Pass if:
The Intel® RealSense™ SDK 2.0 libraries are present in Docker container.
A simple C++ file can be compiled using g++ and -lrealsense2 flag.
Intel® RealSense™ Topics are listed and published.
The number of FPS (Frames Per Second) are as expected.
Intel® VTune™ Profiler
This module will run the Intel® VTune™ Profiler on the target system.
For more information, go to the Intel® VTune™ Profiler website.
The test is considered Pass if:
VTune™ Profiler runs without errors.
VTune™ Profiler collects Platform information.
Rviz and FastMapping
This module will run the Fast Mapping application (the Intel-optimized version of octomap) on the target system and will use Rviz to check if it works as expected.
For more information, go to the Rviz wiki.
The test is considered Pass if:
Fast Mapping is able to create a map out of a pre-recorded ros2 bag.
Turtlesim
This module will run the Turtlesim ROS2 application on the target system and will check if it works as expected.
For more information, go to the Turtlesim wiki.
The test is considered Pass if:
Turtlesim opens and runs without error.
Intel® oneAPI
This module verifies some basic capabilities of Intel® oneAPI on the target platform.
For more information, go to the Intel® OneAPI website.
The tests within this module verify that the following features are functioning properly on the target platform:
DPC++ compiler
CUDA to DPC++ converter
This test is considered Pass if:
A simple C++ file can be compiled using the DPC++ compiled and it runs as expected.
CUDA can be installed.
A CUDA specific file can be converted to DPC++ and it runs as expected.
OpenVINO™ Toolkit
This module verifies two core features of the OpenVINO™ Toolkit:
OpenVINO™ model optimizer
Object detection using TensorFlow*
The test is considered Pass if:
The OpenVINO™ model optimizer is capable to transform a TensorFlow model to an Intermediate Representation (IR) of the network, which can be inferred with the Inference Engine.
Object Detection on CPU
This module verifies object detection using OpenVINO™ on CPU.
The test is considered Pass if:
The object is detected.
If the test is failed, you can check the expected picture and the actual picture obtained by the test.
Object Detection on VPU
This module verifies object detection using OpenVINO™ on VPU.
The test is considered Pass if:
The object is detected.
If the test is failed, you can check the expected picture and the actual picture obtained by the test.
Object Detection on Intel® Movidius™ Myriad™ X VPU
This module verifies object detection using OpenVINO™ on Intel® Movidius™ Myriad™ X VPU.
The test is considered Pass if:
The object is detected.
If the test is failed, you can check the expected picture and the actual picture obtained by the test.
GStreamer* Video
This module verifies if a GStreamer* Video Pipeline using GStreamer* Plugins runs on the target system.
The test is considered Pass if:
The Video Pipeline was opened on the host without errors.
GStreamer* Audio
This module verifies if a GStreamer* Audio Pipeline using GStreamer* Plugins runs on the target system.
The test is considered Pass if:
The Audio Pipeline was opened on the host without errors.
GStreamer* Autovideosink Plugin - Display
This module verifies if a stream from a camera compatible with libv4l2 can be opened and displayed using GStreamer*.
The test is considered Pass if:
No Error messages are displayed while running the gst-launch command.
This test may FAIL, or it may be skipped if the target system does not have a Web Camera connected.
GStreamer* Intel® RealSense™ Video source plugin
This module verifies if a GStreamer* Video Pipeline using the Intel® RealSense™ Plugin runs on the target system.
The test is considered Pass if:
No Error messages are displayed while running the gst-launch command.
This test may FAIL, or it may be skipped if the target system does not have a RealSense Camera connected.

Get Started

Download and Install Intel® ESDQ for EI for AMR

Select the configuration
Go to Edge Insights for AMR.
Select
Robot Full Solution
.
Select
Customize Download
.




Click on
Next
, until you get to step 4. Check that Intel® Edge Software Device Qualification is checked.




Click on
Next
and
Download
.
Follow the steps from Install Edge Insights for Autonomous Mobile Robots chapters:
Step 6: Extract the Edge Insights for Autonomous Mobile Robots Software
Step 7: Install the Edge Insights for Autonomous Mobile Robots Software

Run the Application

Change directory:
cd $HOME/edge_software_device_qualification/Edge_Software_Device_Qualification_For_AMR_*/esdq
Run Intel® ESDQ test and generate report:
./esdq run -r
The test report should look like the following example.
The results shown below are for illustration only.

The OpenVino Object Detection Myriad Test Failure above is shown for demonstration purposes only. The test is expected to pass.

Send Results to Intel

Troubleshooting

Support Forum