“Building Complete Embedded Vision Systems on Linux — From Camera to Display,” a Presentation from Montgomery One

Clay D. Montgomery, Freelance Embedded Multimedia Developer at Montgomery One, presents the “Building Complete Embedded Vision Systems on Linux—From Camera to Display” tutorial at the May 2019 Embedded Vision Summit.

There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such as NXP, Broadcom, TI and NVIDIA, at lower power and cost points than ever before. Testing vision algorithms is the first step, but what about the rest of your system? In this talk, Montgomery considers the best open-source components available today and explains how to select and integrate them to build complete video pipelines on Linux—from camera to display—while maximizing performance.

Montgomery examines and compares popular open-source libraries for vision, including Yocto, ffmpeg, gstreamer, V4L2, OpenCV, OpenVX, OpenCL and OpenGL. Which components do you need and why? He also summarizes the steps required to build and test complete video pipelines, common integration problems to avoid and how to work around issues to get the best performance possible on embedded systems.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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