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visionOS Spatial App

LingBot Vision Pro

Live 3D scene reconstruction streamed to Apple Vision Pro — geometry, camera trajectory, and keyframe frustums you walk around in immersive space. Built on LingBot-Map (Geometric Context Transformer).

Delivered in visionOS demo
visionOS prototype
Prototype
LingBot Vision Pro website homepage
The Problem

Spatial Computing Has No Web Demo

Reconstruction and spatial AI work lives in research repos and headset-only demos. There is no way to show the experience to someone without a device, and no simple path from a video feed to a walkable 3D map.

Key Challenges

1visionOS apps cannot be embedded or previewed in a browser
2Streaming reconstruction is hard to make tangible in a screenshot
3Upstream research (LingBot-Map) is not packaged for immersive use
4Visitors need a clear reason to care without owning a headset
The Solution

A Live Map of the World, in Immersive Space

We built a visionOS app that streams scene reconstruction from video and renders it as a volumetric, walkable map on Apple Vision Pro — geometry, camera trajectory, and keyframe frustums growing around you in real time.

Our Approach

Designed a glass control window for scene selection and stream transport
Rendered reconstruction at table scale in a volumetric window
Wired confidence, color, and rate controls for live tuning
Built an immersive space where the map envelops the viewer
Based the pipeline on LingBot-Map (feed-forward Geometric Context Transformer)

Technologies Used

SwiftUIRealityKitObservationvisionOS 2.0LingBot-Map
The Results

Spatial Reconstruction, Demo-Ready

LingBot Vision Pro turns a research reconstruction pipeline into a presentable, immersive experience — and a public GitHub project that signals depth in spatial computing.

Apple Vision Pro

Platform

visionOS 2.0+ immersive spatial demo

LingBot-Map

Upstream

Geometric Context Transformer (Apache-2.0)

Public

Open Source

Live on GitHub, collaborator-ready

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LingBot Vision Pro Case Study | Defendre Solutions