E57 to VPS: Turn Any Point Cloud into Centimeter-Accurate XR

A VPS gives devices precise 6-DoF position and orientation in the real world so AR content and robots can align to physical assets exactly indoors, outdoors, and at scale. Compared with GPS, Wi‐Fi, beacons or QR codes, VPS provides far higher accuracy and persistent spatial awareness, which is essential for navigation, training, inspection, and digital‐twin overlays in complex facilities. VPs also provide multiplayer environments which provide a shared sense of space for a fleet of devices.

Integrate MultiSet AI's VPS using our REST API, Unity SDK, or native SDKs for iOS and Android. This ensures seamless integration and precise localization in your AR projects. Our platform also supports on‐premises deployments and offline SDKs, keeping your data secure. Designed for various environments, our VPS technology handles everything from small rooms to large stadiums.

MultiSet AI’s neural networks are trained for diverse lighting conditions and dynamic environments. The VPS remains robust and accurate under typical lighting variations, minor physical changes, and the presence of people, ensuring reliable performance. Ideal for manufacturing, warehouse training, and other industrial settings, our VPS technology delivers centimeter‐level accuracy even in challenging environments.

Teams typically stand up a first localized scene in minutes using samples, then expand by stitching scans into map sets for seamless indoor↔outdoor and multi-building continuity. This lets you scale predictably while keeping performance consistent across sites.

A visual positioning system uses camera imagery to calculate a device’s 6‐DoF pose. MultiSet’s VPS is scan‐agnostic. It fuses LiDAR data, point clouds and 3D scans, delivers sub‐centimetre accuracy, and scales to 100,000+ m2 venues without markers or beacons.

Any modern phone, tablet, AR headset, robot or drone equipped with a standard RGB camera. Devices with LiDAR (iPhone Pro, iPad Pro, Quest 3) gain extra accuracy but are not required.