# What are the OVRMaps

**OVRMaps** are **3D Maps**—digital twins—of the physical world, created by the **OVER Community** using smartphone cameras. Each map covers an average of **300 square meters** and is created from 400 to 1000 multiview pictures. OVER processes these images with **AI algorithms** to generate a 3D model of the location. These maps are tied to their geographic coordinates, sharing the same **H3 geographic** **reference system** by Uber as OVRLands.

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See it in action!
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## The OVER Mapping Process

OVER Mapping is a **permissionless activity**; anyone with the OVER App can map any location. Mappers can either own their map as an NFT or sell it to OVER through the **Map2Earn program**. This program incentivizes mappers with **OVR Tokens** for scanning high-traffic or high-value locations worldwide.

## OVRMaps Applications

OVRMaps represent the 3D structure of physical locations and enable various applications in **Physical AI**:

* [**Foundation Vision Models Training**:](https://docs.overthereality.ai/over-wiki/physical-ai/physical-ai-foundation-models-for-robotics) The multiview pictures captured during mapping are used to train AI models that empower machines and robots understand and interact with the physical world.
* [**XR Publishing and Browsing**:](https://docs.overthereality.ai/over-wiki/web3-xr/ovrmaps-for-xr) Mapped locations can be explored remotely using real-time Gaussian Splat representations. This allows users to publish XR (Extended Reality) content remotely by using the 3D reconstruction as a reference. This also enables AR (Augmented Reality) content to be anchored to specific physical locations using the Visual Positioning System (VPS).
* [**VPS Camera Pose Estimation Service:**](https://docs.overthereality.ai/over-wiki/over-vps/over-visual-positioning-system-vps) Once a location is mapped, the OVER VPS service can precisely estimate a camera’s position and orientation in 3D space with centimeter-level accuracy. This capability is crucial for machines and robots, allowing them to accurately determine their location and bearing within a 3D environment.