In the next few posts, I will discuss how to use OpenCV on ARM processor for image processing. I will discuss with reference to FriendlyARM Mini6410 (ARM11). The processor is Samsung S3C6410 with 667MHz, 128 MB RAM, 2 USB ports and a serial port. For implementing OpenCV on ARM, I will recommend a processor with speed greater than 500 MHz.
OpenCV can be implemented on FriendlyARM with any of the operating systems like Linux, Windows CE, Android, etc. I have used Linux for my project. Just connect a USB camera to your board, run the executable file on your board and your system starts working independently on just 5V supply. That is the advantage of image processing on ARM.
The first step is to install Linux on FriendlyARM which I will explain in my next post.
OpenCV can be implemented on FriendlyARM with any of the operating systems like Linux, Windows CE, Android, etc. I have used Linux for my project. Just connect a USB camera to your board, run the executable file on your board and your system starts working independently on just 5V supply. That is the advantage of image processing on ARM.
The first step is to install Linux on FriendlyARM which I will explain in my next post.
