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IEC Akraino Edge Stack supports AR/VR applications. It could support AR/VR Algorithms that with GPU Modeling (i.e. modeling describes the process of forming the shape of an object) Compositing (e.g. Environmental Mapping, Tone Mapping) Rendering and Illumination Models Visualization of Large Volume 3D Models (e.g. Global Network Operations Center monitoring) Registration (e.g. Stitching data from distributed sources) Segmentation (e.g. Segmentation and detection for security monitoring). This IEC Type 4 AR/VR platform utilizes Tars for remote direct memory access control. In this document, we use Virtual Classroom as demo for IEC Type4. Virtual Classroom is an online learning environment that allows teachers and students to communicate and interact with each other in real time. We use WebGL, Three.js and JavaScript to develop Virtual Classroom application.
License
Apache License - V2
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- Teacher Side: Windows 10 with a Web Browser that supports WebSockets.
- Student Side: Windows 10 with a Web Browser that supports WebSockets.
- Server Side: CentOS 7.8
- Virtual Classroom (OpenVidu 2.13.0)
- Tars 2.14.013
- IEC 3.0
Database Prerequisites
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Virtual Classroom demo includes two parts: (1) server side and (2) client side. The technologies used to develop these applications includes WebGL, Three.js and JavaScript.
The code could be find at:
git clone https://github.com/OpenVidu/openvidu-vr.git
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sed -i 's/demos.openvidu.io/${Local_IP_Address}/g' app.js
To execute:
docker run --rm --name openvidu_server -d -p 4443:4443 -e openvidu.secret=MY_SECRET -e openvidu.publicurl=https://${Local_IP_Address}:4443/ openvidu/openvidu-server-kms
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