3D Building Analyzer Using Ground Imagery for Accurate Models
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Solution Overview
Problem
Existing 3D building models generated from aerial imagery suffer from limited texture resolution, geometry quality, inaccurate geo-referencing, high cost, and lack of real-time image data analytics, making them inefficient for consumer and commercial use.
Innovation Solution
A system and method for creating 3D blueprints by capturing ground-level images from multiple angles, identifying architectural elements, and scaling them using known ratios and image processing techniques to generate accurate multi-dimensional models with material and cost estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If aerial imagery is used to generate 3D building models, then coverage area is improved, but texture resolution and geometry quality deteriorate
Solution Approach 1:
The patent combines aerial imagery with ground-level images to create composite 3D building models. The system integrates data from multiple sources (aerial and ground-based cameras) to produce models that maintain high texture resolution and geometry quality while covering large areas, resolving the contradiction between coverage area and model precision.
Solution Approach 2:
The patent transitions from purely aerial (top-down) imaging to multi-dimensional imaging by incorporating ground-level perspectives. This adds vertical and lateral dimensions to the data collection process, enabling high-resolution texture capture while maintaining broad coverage through strategic placement of ground-level cameras.
2Manufacturing precision
If specialized camera-equipped vehicles are used, then image quality is improved, but cost and time consumption worsen
Solution Approach 1:
The system uses standard smartphones with built-in cameras to capture ground-level images, eliminating the need for specialized expensive equipment. Users can contribute images using their own devices, reducing both cost and deployment time while maintaining sufficient image quality for 3D model generation.
Solution Approach 2:
The patent employs universal smartphone cameras that serve multiple functions - capturing images for 3D modeling, providing geo-referencing data, and enabling user-contributed content. This multi-functional approach replaces specialized single-purpose camera vehicles, reducing cost and time while maintaining image quality.
3Manufacturing precision
If traditional 3D mapping methods are used, then model generation is achieved, but real-time data analytics capability worsens
Solution Approach 1:
The system incorporates real-time image analytics that process captured images immediately to extract building characteristics, material information, and structural data. This feedback loop enables simultaneous model generation and analytics, transforming static 3D modeling into a dynamic process that delivers real-time insights while maintaining modeling accuracy.
Data Source
AI summary
A system and method is provided for constructing a labeled and dimensioned multidimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.