3D Mesh Wall Window Door Report Generation
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Solution Overview
Problem
Current methods for generating wall, window, and door reports are expensive and time-consuming, relying on two-dimensional imagery and manual tools, which can be improved with a more automated approach using three-dimensional imagery and tools.
Innovation Solution
A computer-implemented method that presents a 3D mesh of a structure, allowing analysts to draw walls, windows, and doors directly, with automated tools for generating walls, moving vertices, and creating openings, reducing the need for manual association of 2D images and enabling rapid generation of accurate reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If 2D imagery and manual tools are used for generating wall, window, and door reports, then the process is simpler to implement, but the time and cost required increase significantly
Solution Approach 1:
The patent replaces manual mechanical measurement processes with automated computer vision and machine learning systems. The system automatically detects walls, windows, and doors from aerial imagery using trained neural networks, eliminating the need for manual annotation and measurement while significantly reducing report generation time from days to minutes.
Solution Approach 2:
The system enables self-service automated report generation where the software independently processes aerial imagery, identifies building features, extracts measurements, and generates reports without requiring manual intervention. The machine learning models automatically adapt and improve through continuous training on annotated datasets.
2Ease of manufacture
If 2D imagery and manual tools are used for generating wall, window, and door reports, then the implementation is simpler, but the cost increases
Solution Approach 1:
The patent replaces expensive manual labor with automated computer vision systems. The machine learning models process aerial imagery and extract measurements automatically, eliminating the need for human annotators and manual measurement processes, thereby significantly reducing operational costs while maintaining implementation simplicity.
Solution Approach 2:
The system changes the operational parameters from manual processing to automated processing by utilizing trained neural networks. This parameter change transforms the cost structure by replacing high-cost manual operations with lower-cost automated computational processes that can handle multiple projects simultaneously.
3Productivity
If automated tools with 3D mesh are used, then productivity increases, but device complexity increases
Solution Approach 1:
The patent replaces simple manual measurement processes with sophisticated automated computer vision systems using 3D mesh technology and machine learning. This substitution dramatically increases productivity by processing aerial imagery and generating reports in minutes, though it does increase system complexity through the use of neural networks and automated feature detection algorithms.
4Device complexity
If manual measurement methods are used, then the system is simpler, but the time required for contractors to obtain estimates increases
Solution Approach 1:
The patent replaces manual measurement processes with automated computer vision systems that process aerial imagery and generate measurements instantly. This substitution eliminates the time-consuming manual measurement process while the modular architecture of the automated system maintains relative simplicity in deployment and operation.
Data Source
AI summary
A computer-implemented method for generating wall, window, and door reports. In one embodiment, an application may present a 3D mesh of a structure to an analyst. The application may also display 2D images of the structure for reference. The application may overlay a roof model on the 3D structure mesh. The analyst may begin by using a ground tool and then clicking a location on the 3D mesh. The application may then drop walls down from at or near the roof's outer edges to lower roof facets or to the clicked mesh elevation. The analyst may then use move, delete, and wall tools to adjust the walls. The analyst may then use window, door, and hole tools to draw openings. When the analyst finishes, the application may generate a report. The report may include multiple structure renderings with wall, window, and door labels plus length, perimeter, and area measurements.