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.
Someone in the Metaio Developer Portal said they’d heard the UI Designer in Creator was made for iPhone4 screens and the created UI design is not responsive to different screen sizes. I think that someone may have heard correctly. 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 […]
I’m currently wrestling with the correct Z translation of images and buttons in UI Designer of Creator 2.6. I’ve placed some buttons on top of an background image in the UI Designer of Creator and have encountered a problem where the image obscures the buttons and prevents them from working. I’ve checked the Z translation […]
Previsualising the pointed tool, piston seal and rear brake caliper geometry for Step 4: Remove piston seal from caliper stage of the brake caliper augment. Geometry will be exported as FBX from Blender, prepared by FBXMeshCoverter for import into Creator for upload into my Metaio channel for final use as an augment. Figuring out the […]
Screen captures from 3D point cloud data gathering with Metaio Toolbox for sequences to be used in my augmented contextual instruction on the rear brake caliper. The 3D point cloud data will then be used as tracking technology to place my augments.
These four instructional video are supplementary material for the four augmented contextual instruction sequences I’m developing as part of my VET Development Centre Specialist Scholarship.
Captions can help to provide an equivalent learning experience for viewers who may be hearing impaired, speak other languages or use assistive technology. Captions are also valuable in a teaching and learning context where it may be impractical for learners to wear headphones or play video at high volume in an group training environment such […]
For this prototype, I’m using Metaio Creator image and object recognition features of Toolbox in restrictive Demo Mode to further explore some aspects of my concept of augmented contextual instruction. Unfortunately, in Demo Mode I can’t use the excellent 3D point cloud data captured in Toolbox to prototype all aspects of my augmented contextual instruction. In Demo […]
