Renovation Computing Platform Using Image-Based 3D Measurement
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Solution Overview
Problem
The process of building renovation is complex and time-consuming, often involving multiple contractor interactions, prone to human errors in dimension measurement, and leading to incorrect quotes, causing inconvenience for building owners.
Innovation Solution
A computing platform that uses a neural network model to generate a 3D model of building portions from captured images, identifies job portions, and facilitates contractor selection based on precise dimension measurements, reducing human error and streamlining the renovation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contractors manually measure building portions and provide quotes, then they can offer personalized renovation estimates, but the process becomes time-consuming and prone to human errors
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated image processing and neural network-based 3D modeling. The system captures images of building portions and uses computational algorithms to automatically extract dimensions, eliminating the need for physical measuring tools and manual calculations, thereby achieving both high precision and time efficiency
Solution Approach 2:
The patent creates a digital 3D model copy of the building portion based on captured images. This virtual replica allows for accurate dimension extraction without requiring physical measurement, enabling multiple measurements and quote calculations from a single set of images, thus reducing both time and potential errors
2Adaptability or versatility
If multiple contractors are consulted for renovation quotes, then the building owner can compare options, but the process becomes complex and requires multiple interactions
Solution Approach 1:
The patent creates a universal measurement system that generates standardized dimension data and 3D models that can be used by multiple contractors simultaneously. Instead of each contractor performing separate measurements, the single standardized output serves all contractors, simplifying the process while maintaining the ability to compare multiple quotes
Solution Approach 2:
The patent introduces an intermediary measurement and modeling system that sits between the building owner and multiple contractors. This intermediary produces standardized dimension data that all contractors receive, reducing the complexity of multiple interactions while preserving the building owner's ability to compare quotes from different contractors
3Reliability
If contractors revise quotes midway during renovation, then they can adjust for measurement errors, but this causes inconvenience for the building owner
Solution Approach 1:
The patent performs preliminary measurement and dimension extraction using automated image processing before the renovation process begins. By capturing images and generating accurate 3D models in advance, the system establishes a reliable baseline for quote calculation, reducing the need for mid-renovation quote revisions and ensuring smoother project execution
Data Source
AI summary
A method to facilitate building renovation is disclosed. The method includes obtaining an indication to renovate a building portion from a user. The method further includes obtaining a first plurality of images associated with the building portion from a first user device. Responsive to obtaining the first plurality of images, the method includes identifying building portion dimensions based on the first plurality of images. The method further includes identifying job portions associated with the building portion based on the first plurality of images and generating a relative job portion renovation order in response to job portion identification. In addition, the method includes transmitting information associated with the job portions to at least a third party device based on the relative renovation order. The transmitted information includes the building portion dimensions.