PlanPrecision: 2D Floor Mapping and 3D In-House Visualization
In the highly competitive real estate market, providing potential buyers with an immersive and accurate representation of properties is essential. Traditional floor plans and photos often fall short in conveying the true essence of a space, leading to misunderstandings and missed opportunities. Our client, a leading real estate agency, faced this challenge and sought a cutting-edge solution to revolutionize their property listings.
Step 1: AR-Based Data Capture
AR VisionTech introduced Augmented Reality (AR) technology on Android and iOS platforms using Google ARCore and Apple ARKit. This enabled the real-time capture of spatial data and video frames of premises. By extracting 3D world coordinates and frames through AR, we ensured a seamless and highly accurate depiction of the environmental layout.
Step 2: 3D Mesh Generation
We employed 3D Computer Vision techniques, leveraging Open3D and a pre-trained model to generate a 3D mesh file from the acquired data. This step allowed for precise spatial representation.
Step 3: Quality Enhancement
To further enhance the accuracy of the generated 3D mesh, we utilized Trimesh for efficient processing and analysis. Computational Geometry and Artificial Intelligence (AI) algorithms were also executed to calculate precise dimensions of the space, refining the accuracy of the floor plans.
Step 4: Visualization and User Engagement
From the 3D mesh file, we crafted an immersive 3D in-house floor view. This added a whole new dimension to property visualization, enhancing user engagement and understanding. The power of AI was harnessed not only for calculating dimensions but also to improve the accuracy and reliability of the floor plans.
Step 5: User-Friendly Application
The entire workflow was encapsulated in a user-friendly application, ensuring that clients could easily navigate and visualize floor plans in both 2D and 3D.
- Achieved a high level of accuracy and efficiency in floor plan generation.
- Enhanced property listings with immersive 3D in-house floor views, improving user engagement.
- Improved client understanding of property layouts, leading to quicker and more informed purchase decisions.
- Demonstrated the real-world potential of AR and 3D Computer Vision in the real estate industry.
- Languages: Python, Java, Kotlin, Swift
- Web Framework: React.js
- 3D Graphics: Three.js, VTK
- Image Processing: OpenCV
- Data Management: REST API, PostgreSQL, Redis for enhanced data caching and retrieval
- Task Management: Celery
- Containerization & Orchestration: Docker, Kubernetes
- Version Control: Git for collaborative development and version tracking
- Cloud Computing: Azure
- Others: LiDAR for enhanced spatial recognition, Camera Calibration for accurate image capture and processing.