iDepth NDI vs MultiSet

An application scans depth using a LiDAR sensor and sends it through NDI. You can receive the NDI sources(color and depth image) from any device in real time. This application is for media artists and computer musicians to control multimedia content. Note: Depth capturing functionality requires an A12 Bionic processor(or later) and LiDAR sensor.

Scan a space with your iPhone and MultiSet builds a 3D map of it. Point your camera at that space later, from any angle, and the app works out exactly where you are standing, down to a few centimeters. That is visual positioning. This app is the field tool for it. SCAN AND BUILD MAPS Capture a room, a floor, or a whole building with LiDAR. Large sites are mapped across several sessions and merged into one coordinate system, so a warehouse does not have to be scanned in one go. Scans upload in the background and save as drafts if you lose signal. TEST ON SITE Open any map and localize against it then and there. You see the pose, the confidence, and the response time, with the reconstructed mesh drawn over the real room so you can tell at a glance whether it lines up. TRACK OBJECTS Upload a 3D model and the app recognizes that object in the camera feed and traces its outline in place. PLACE CONTENT IN A REAL SPACE Pin 3D text, images, and location markers to a mapped space, set the points people should be guided to, and publish it. Visitors open it by scanning a QR code. No install, no account, no App Store. GEOREFERENCE Capture control points and tie a map to real world coordinates. INSPECT MESHES Open the reconstructed mesh of any map or object in a 3D viewer. Orbit, zoom, switch shading, check triangle counts. BUILT FOR DEVELOPERS Everything here runs on the same visual positioning system behind the MultiSet SDKs for Unity, iOS, Android, Quest, and WebXR. Maps you build in this app work in your own builds. Requires a MultiSet account, free to create at developer.multiset.ai. Scanning needs an iPhone or iPad with LiDAR. Localization, object tracking, and published experiences run on any device that supports ARKit.