Create a simple OpenCV C++ demo application (in the scratch/ directory of the repo) that uses ArUco (https://www.uco.es/investiga/grupos/ava/node/26) to detect ARTags. You'll want to print some; luckily, they can easily be printed with a black-and-white printer (you can obtain some sample images here: https://wiki.ros.org/ar_track_alvaraction=AttachFile&do=view&target=markers0to8.png). The application must collect real-time webcam video and display the feed on-screen, with the tags marked. ArUco is built on top of OpenCV and contains a ton of documentation; it should be straightforward to combine any basic real-time OpenCV C++ tutorial and the ArUco detection library.
layneson
commented
5 years ago 
Create a simple OpenCV C++ demo application (in the scratch/ directory of the repo) that uses ArUco (https://www.uco.es/investiga/grupos/ava/node/26) to detect ARTags. You'll want to print some; luckily, they can easily be printed with a black-and-white printer (you can obtain some sample images here: https://wiki.ros.org/ar_track_alvaraction=AttachFile&do=view&target=markers0to8.png). The application must collect real-time webcam video and display the feed on-screen, with the tags marked. ArUco is built on top of OpenCV and contains a ton of documentation; it should be straightforward to combine any basic real-time OpenCV C++ tutorial and the ArUco detection library.