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Proto 6/10: Copy printed text to desktop with AR+ML

Code: github.com/cyrildiagne/ar…
Book: Neurones, les intelligences simulées, Frédéric Migayroux & al (Editions Hyx 2018 @centrepompidou)

#ML #AR #AI #AIUX #ARCore #ARKit #WebXR

Technical Insights: ↓
The magic here is to use ARCore + AugmentedImages rather than SIFT.
Phone gets a new desktop screenshot on touch and adds it to ARCore (< 100ms).
Tracking is crazy fast & precise.

Interesting alternative to touch screen for interactive installations!
The text detection is performed on device with @Firebase #MLKit. Super fast, good accuracy and cross platform.
Unexpectedly, it took me quite a couple iterations to figure out a good UI for the text selection flow.

The goal was to limit the thumb's movements while providing a precise bounding box to the Text Detection API.

In this case, the best iteration ended up being the simplest.
Had to write this prototype in Java, and even though I didn’t particularly enjoy it, it was amazing to find everything I needed already available.

The more platforms you can “handle” (not master) the faster you can prototype, using the most optimal implementation.
That’s it for this one! 📱📗🖥

Let me know if you have any question otherwise see you next week!
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