I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

A geek is a geek even on his birthday, and to celebrate that I blogged once again a handy #realitycollective service: one that send telemetry to an Azure Application Insights resource, using the official Microsoft SDK. You can log events and exceptions, but you can also let the service log automatically stuff that passes through the internal Unity Application log.

https://localjoost.github.io/Logging-Mixed-Reality-app-data-in-Azure-Application-Insights-using-the-official-Microsoft-SDK/

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/