3D Building Analyzer Using Ground-Level Imagery
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Solution Overview
Problem
Existing methods for generating 3D building models from aerial imagery are limited by low texture resolution, geometry quality, and are expensive, time-consuming, and difficult to update, with no robust real-time image data analytics for consumer and commercial use cases.
Innovation Solution
A system and method for creating 3D building models using ground-level image processing, which involves capturing and processing images from multiple angles to identify architectural elements, calculate dimensions, and generate a 3D blueprint, utilizing image recognition techniques and deep learning algorithms to improve accuracy and scalability.
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 3D building models. The system integrates data from multiple sources (aerial photos and ground-level captures) to produce models that achieve both broad coverage and high detail, resolving the contradiction between coverage area and manufacturing precision.
Solution Approach 2:
The patent transitions from traditional 2D aerial imagery to multi-dimensional modeling by incorporating ground-level perspectives. This dimensional expansion allows the system to capture both large-scale spatial relationships and fine-detail textures, simultaneously improving coverage area and manufacturing precision.
2Manufacturing precision
If specialized camera-equipped vehicles are used for 3D mapping, then geometry quality is improved, but cost and time consumption worsen
Solution Approach 1:
The system uses standard smartphones and consumer cameras to capture ground-level images, eliminating the need for specialized expensive equipment. The mobile device itself serves as the imaging platform, reducing both equipment costs and deployment time while maintaining geometry quality through software-based processing.
Solution Approach 2:
The patent replaces complex mechanical imaging systems with software-based image processing algorithms. By using computational methods to extract geometric information from standard camera images, the system achieves high geometry quality without requiring specialized mechanical camera-equipped vehicles.
3Ease of manufacture
If traditional 3D mapping methods are used, then initial model creation is achieved, but update difficulty and real-time analytics capability worsen
Solution Approach 1:
The system implements dynamic updating capabilities where 3D building models can be continuously refreshed using new ground-level images captured at any time. This allows the models to adapt to building changes and enables real-time analytics, transforming static mapping into a dynamic, continuously updatable system.
Solution Approach 2:
The patent establishes a pre-configured system with embedded image processing algorithms and 3D reconstruction capabilities in mobile devices. This preliminary setup enables rapid deployment and easy updates without requiring complex post-processing, improving both initial model creation and subsequent update ease.
Data Source
AI summary
The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.