I’ve been looking at using HoloLens for more “serious” applications (yes, beyond dancing robots :-). One simple prototype I’ve worked on over the last few weeks – once again with the help of Tom Eriksson, who did another stellar job transforming the CAD data into a good-looking Unity model – is to show an electrical transformer and allow the user to pinpoint a technical problem inside it for the purposes of (hopefully predictive) maintenance.
Here’s a quick demo video, showing a prototype where we open up the electrical transformer and show its insides before scaling and exploding it and then highlighting the “problematic” component.
In theory the problematic component has been identified by some kind of Machine Learning system analysing sensor data coming from the transformer, but this is pure fantasy (or perhaps sci-fi), for now. In time I fully expect this kind of application to be a compelling use for AR technology, especially when viewed in-context by maintenance staff inside the building where the equipment resides.