About Embedded Linux and computer vision Program

OpenCV, simpleCV etc are very useful libraries for toying around with images. You can get interesting results without a lot of effort. But the more serious you get about image recognition, the more you find that you can't use them globally across the image. Finding the yellow car in the parking spot is a good example of the usefulness of the library and also its simplistic capabilities. It recognized a yellow patch in the image and it doesn't recognize a car in a general way.

Linux has been adapted for use in embedded environments, focusing primarily on the architecture of ARM. We provide the course to shed light on installing a cross-development environment, how to build a compact Linux version for an embedded device, how to install it on the target system, and how to test its operation.
This course is aimed at engineers who want to use the Linux system in new embedded projects and people who support the development of such systems by customers.
In five days, the course will introduce you to the architecture of an embedded Linux system through theory and practical laboratories, how to build such a system, how to take advantage of open source components to implement system features and reduce development costs, and how to develop and debug your own applications in an embedded environment.