CenarioVR vs MindAR

CenarioVR is a no-code platform for creating immersive VR learning courses. Authors build scenes from equirectangular images or 360-degree video, then add questions, hotspots, info cards, multimedia, 3D models, and drag-and-drop interactions. Conditional branching, timed objects, linked scenes, quizzes, and spatial audio support interactive learning paths. GLB objects can be positioned, rotated, animated, and used as hotspots. Courses can be published in SCORM, xAPI, cmi5, or HTML formats and delivered through an LMS. xAPI tracking and an analytics dashboard provide real-time performance data. Published content can be viewed in Chrome, Firefox, Microsoft Edge, and Safari, through iOS and Android apps, in Windows standalone mode, or on listed VR headsets such as Meta Quest, HTC Vive, Lenovo Mirage S3, and Pico. Phones and tablets need an accelerometer for VR features, while authoring requires a laptop or computer. The Stand Alone App plan starts at $5,268 a year.

MindAR is a free, open-source web augmented reality library for image tracking and face tracking. It runs in plain static HTML, through an HTML script or npm, and integrates with A-Frame and Three.js using separate image- and face-tracking builds. Image tracking uses a device camera to detect a target and place an augmented object; face tracking detects a face for experiences such as virtual try-on. A browser tool compiles image targets. The project says WebGL and web workers support performance, and static HTML examples can be hosted anywhere. Three.js integration requires version 137 or later, with Three.js kept as an external dependency. Examples require camera access and a webcam for desktop testing. The library uses the MIT License. MindAR Studio is a related free drag-and-drop face-tracking tool that exports self-hosted webpages. Location and fiducial-marker tracking are outside its stated scope.