While they can run on a Raspberry Pi, they’ll be quite slow.Ĭamera: I experimented with a few cameras and got the best results from Logitech C930e. The image matching operations performed are CPU-intense. For Windows or platforms that don’t support V4L, you can manually control the camera settings with other tools. The current implementation has Linux-specific support for interactively controlling camera focus and exposure that are critical to capturing high-quality images and achieving precise registration (particularly under different lighting conditions).
Host CPU: Handicam can run on any machine that can run OpenCV, including Linux and Windows PCs.
Handicam is a prototype optical registration solution for Handibot.
