AI 3D Modeling for Structural Assessment
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Solution Overview
Problem
Existing systems for evaluating structural spaces require expensive hardware, provide inaccurate estimations, and consume significant memory storage and processing power, making them costly and inefficient for structural assessments.
Innovation Solution
The implementation of AI three-dimensional modeling systems that analyze imagery to generate structural models, identify objects, and conduct assessments using AI image processing logic, reducing the need for specialized hardware and minimizing resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LiDAR and mobile photogrammetry are used for precise measurements, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses panoramic images as optical copies of the physical space, replacing the need for expensive LiDAR hardware. The AI system processes these image copies to extract measurement data, achieving precise measurements through computational methods rather than specialized sensing hardware.
Solution Approach 2:
The patent replaces mechanical/optical measurement systems (LiDAR, photogrammetry equipment) with an AI-based image processing system. The mechanical scanning and measurement processes are substituted with algorithmic analysis of panoramic images, reducing hardware complexity while maintaining measurement capability.
2Measurement precision
If LiDAR and mobile photogrammetry are used for precise measurements, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent employs standard camera equipment and consumer-grade smartphones to capture panoramic images, replacing expensive professional LiDAR systems. The solution uses readily available, low-cost devices that can be easily manufactured and deployed without significant investment in specialized measurement hardware.
Solution Approach 2:
The patent substitutes costly mechanical measurement systems with software-based AI processing of standard camera images. This eliminates the need for expensive LiDAR scanners and professional photogrammetry equipment, reducing both hardware costs and manufacturing complexity while maintaining measurement precision through computational algorithms.
3Ease of operation
If AR programs are used for structural assessments, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces AI image processing logic as an intermediary between the panoramic images and the structural assessment. This intermediary layer analyzes the images to extract precise measurement data, bridging the gap between easy-to-use AR interfaces and the need for accurate measurements that would otherwise require complex specialized software.
4Ease of operation
If AR programs are executed on consumer devices, then ease of operation is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts the computationally intensive AI image processing operations from the consumer device and relocates them to a remote server or cloud computing environment. The mobile device only needs to capture and transmit panoramic images, while the heavy processing occurs remotely, reducing energy consumption and bandwidth requirements on the client device.
Solution Approach 2:
The patent uses a server-based AI processing system as an intermediary between the consumer device and the assessment output. This intermediary handles the computationally demanding image analysis remotely, allowing consumer devices to operate with minimal processing power while still achieving accurate structural assessments through the mediating server's capabilities.
Data Source
AI summary
An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.