Real-World to Virtual Reality Room Scanner
Budget: ₹37,500 – ₹75,000 INR
This project focuses on developing a Virtual Reality (VR) application that can scan a real-world room and convert it into a highly realistic, fully interactive 3D model. Using spatial scanning and depth-sensing technologies, the application captures the room’s geometry, surfaces, and objects, reconstructing them accurately inside a VR environment. Users can then explore the scanned room in VR and interact with each individual item as if it were part of a virtual scene.
Objectives:
To scan and reconstruct indoor environments into realistic 3D models.
To enable real-time VR exploration of the scanned space.
To make every detected object in the room individually interactable.
To ensure optimized performance for smooth VR experience.
Key Features:
Room Scanning & Mapping: Uses depth sensors or camera-based scanning to capture walls, floors, furniture, and objects.
Realistic 3D Reconstruction: Generates accurate geometry, textures, and lighting to closely match the real environment.
Object Detection & Segmentation: Identifies individual items (tables, chairs, doors, etc.) and separates them as distinct 3D objects.
Interactivity: Each item can be grabbed, moved, rotated, resized, or triggered with actions (open/close, switch on/off, etc.).
VR Navigation: Users can walk, teleport, or scale the environment within VR.
Physics & Collision: Realistic object behavior using physics for natural interactions.
Technologies Used:
Game Engine: Unity / Unreal Engine
VR SDK: OpenXR / Meta SDK / SteamVR
Scanning & Reconstruction: LiDAR or photogrammetry-based scanning, depth sensing APIs
3D Optimization: Mesh simplification, LODs, occlusion culling
Interaction System: Ray-based and hand-tracking interactions
Applications:
Interior design and home visualization
Architecture and real estate walkthroughs
VR training and simulations
Gaming and immersive storytelling
Outcome:
The final application provides an immersive VR experience where users can scan a real room, view its realistic 3D replica, and interact with every object inside it. This bridges the gap between physical spaces and virtual environments, enabling practical, engaging, and intuitive VR use cases.
Objectives:
To scan and reconstruct indoor environments into realistic 3D models.
To enable real-time VR exploration of the scanned space.
To make every detected object in the room individually interactable.
To ensure optimized performance for smooth VR experience.
Key Features:
Room Scanning & Mapping: Uses depth sensors or camera-based scanning to capture walls, floors, furniture, and objects.
Realistic 3D Reconstruction: Generates accurate geometry, textures, and lighting to closely match the real environment.
Object Detection & Segmentation: Identifies individual items (tables, chairs, doors, etc.) and separates them as distinct 3D objects.
Interactivity: Each item can be grabbed, moved, rotated, resized, or triggered with actions (open/close, switch on/off, etc.).
VR Navigation: Users can walk, teleport, or scale the environment within VR.
Physics & Collision: Realistic object behavior using physics for natural interactions.
Technologies Used:
Game Engine: Unity / Unreal Engine
VR SDK: OpenXR / Meta SDK / SteamVR
Scanning & Reconstruction: LiDAR or photogrammetry-based scanning, depth sensing APIs
3D Optimization: Mesh simplification, LODs, occlusion culling
Interaction System: Ray-based and hand-tracking interactions
Applications:
Interior design and home visualization
Architecture and real estate walkthroughs
VR training and simulations
Gaming and immersive storytelling
Outcome:
The final application provides an immersive VR experience where users can scan a real room, view its realistic 3D replica, and interact with every object inside it. This bridges the gap between physical spaces and virtual environments, enabling practical, engaging, and intuitive VR use cases.
Related categories:
3D Rendering
3ds Max
3D Modelling
3D Animation
Game Development
Unreal Engine
Unity
Virtual Reality