{"id":558,"date":"2011-03-20T15:02:14","date_gmt":"2011-03-20T20:02:14","guid":{"rendered":"http:\/\/nootropicdesign.com\/projectlab\/?p=558"},"modified":"2017-12-28T11:17:34","modified_gmt":"2017-12-28T17:17:34","slug":"arduino-computer-vision","status":"publish","type":"post","link":"https:\/\/nootropicdesign.com\/projectlab\/2011\/03\/20\/arduino-computer-vision\/","title":{"rendered":"Arduino Computer Vision"},"content":{"rendered":"

Difficulty Level = 5<\/em><\/strong> [What’s this?]<\/a><\/p>\n

The Video Experimenter<\/a> shield can give your Arduino the gift of sight. In the Video Frame Capture<\/a> project, I showed how to capture images from a composite video source and display them on a TV. We can take this concept further by processing the contents of the captured image to implement object tracking and edge detection.<\/p>\n

The setup is the same as when capturing video frames: a video source like a camera is connected to the video input. The output select switch is set to “overlay”, and sync select jumper set to “video input”. Set the analog threshold potentiometer to the lowest setting.<\/p>\n

Object Tracking<\/h3>\n

Here is an Arduino sketch that captures a video frame and then computes the bounding box of the brightest region in the image. <\/p>\n