![]() ![]() ![]() Robots use computer vision to assemble cars, recognize people, help patients in hospitals, and replace astronauts in dangerous missions in the space. In the future they will be able to replace soldiers in the battlefield, perform surgeries with precision, and more. The OpenCV libraries offer a powerful infrastructure that enables developers to create sophisticated computer vision applications, abstracting all mathematic, static, and machine learning models out of the application context. It is important to understand how V4L2 works because sometimes OpenCV throws some “mysterious” messages related to issues with V4L2. If you focus exclusively in OpenCV, it will be difficult to understand what is going on and how to fix these issues. These “mysterious” messages are related to V4L2 and not to OpenCV, which can be confusing. If you need more details about how the algorithms works, visit the OpenCV website ( ) and improve your knowledge with books dedicated exclusively to OpenCV and image processing. ![]() This project requires a webcam to serve as Intel Galileo’s “eyes” to capture pictures and videos and apply algorithms using OpenCV. If you are using Intel Galileo, you will also need an OTG-USB adapter in order to connect the webcam because, unlike Intel Galileo Gen2, Intel Galileo does not have an OTG-USB connector. You’ll need to generate a custom BSP image that contains all the tools and software packages that will be used. You can also download the BSP image from the code folder and copy it to the micro SD card, which will save you hours building with Yocto. ![]()
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January 2023
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