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Compare the Point Cloud to the 3D Mesh and Build the Deviation Maps
Client Name
HELIX RE, Inc.
HELIX RE is a pioneering company born out of Google X, dedicated to revolutionizing architecture and construction through digital twinning. By creating highly accurate digital replicas of buildings, HELIX RE empowers stakeholders to optimize processes, reduce costs, and enhance project outcomes. With their state-of-the-art technology, they deliver digital twins with unparalleled precision, speed, and efficiency.
HELIX RE approached us intending to compare point cloud data to 3D meshes and generate deviation maps. This critical task ensures accuracy in architectural designs and construction validations. The challenge lies in handling massive point cloud datasets efficiently without compromising system performance.
- Managing Massive Point Cloud Data: LIDAR scanners generate extensive datasets, requiring significant computational resources for processing.
- Low Memory Optimization: Ensuring the point cloud processor runs smoothly on systems with limited memory.
- Deviation Mesh Generation: Developing a robust methodology to write deviation maps efficiently.
To overcome these challenges, we implemented the following solutions:
- Streamable Point Cloud Processor
We developed a streamable version of the point cloud processor to address memory limitations. This innovative solution enables seamless processing of vast datasets, ensuring:
- Smooth operation on systems with as little as 2 GB of RAM.
- Support for billions of points without sacrificing performance.
- Optimized Edge Algorithms
Creating deviation meshes was a complex task. Our team employed advanced edge algorithms to achieve the desired performance. These algorithms:
- Enhanced the accuracy and reliability of deviation maps.
- Maintained high-speed processing, meeting project requirements.
- Enhanced Decision-Making: Accurate digital twins enable better planning and execution.
- Cost Savings: Reduces errors and minimizes costly rework.
- Streamlined Workflow: Enables real-time collaboration and improved project management.
- Improved Accuracy: High-fidelity digital replicas ensure precise measurements and insights.
- Scalability: Capable of handling projects of any size without compromising quality.
