Using Simultaneous localization and mapping (SLAM) or mapping a room (creating a 3D point cloud) or environment with Metaio Toolbox could be a solution to the challenge of using markers placed on the floor to trigger and then engage with an augment containing a 3D object modelled to scale.
Screen captures from the completed image-tracking augmented contextual instruction user experience. The augmented contextual instruction is made up of a sequence of junaio channels that can be browsed in the junaio AR browser. For this example, the channels were browsed using junaio on an iPad.
Save. Upload. Wait. Test. Tweak. Save again. Upload again. Wait again. Test again. Tweak again. Almost there! And another thing. It’s been 11 days since I posted my issue with Z translation of buttons in UI Designer of Metaio Creator 2.6 to the Helpdesk of the Metaio Developer Portal and there hasn’t been one response! Damn.
Placing geometry in the 3D point cloud in Metaio Creator 2.6 is a little cumbersome, bewildering and often inaccurate. It takes lots of clicking and seemingly random fiddling to place geometry. You also can’t really determine if your geometry is placed correctly within the 3D point cloud until you upload to your channel and then view your channel in Junaio on your device. If it’s not placed correctly, you need to tweak it in Creator, publish it and then view it again in Junaio. Repeat process until it looks like…
Screen captures from my image tracking tests in Junaio for each step of the disassembly process with UI elements. Unfortunately, due to my Z translation problems in UI Designer of Creator 2.6 I had to remove the background image which was placed underneath the buttons. Doing this gives the buttons a floaty and slightly random feel, but at least the buttons function as they should!