Property Image Room Association via Dimensional Data
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Solution Overview
Problem
Existing techniques for listing residential properties for sale often fail to clearly associate interior images with specific rooms or portions of the property, making it difficult for users to distinguish between different areas and visualize the layout effectively.
Innovation Solution
A system and method that use processors and image sensors to determine dimensions and image data of a property's portions, generating user interaction data by associating these elements to provide clear, interactive views of the property's interior through a user interface, allowing users to easily identify and visualize specific rooms or areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If interior images are made available in a general collection without specific association to rooms, then the property can be listed with minimal effort, but users cannot easily distinguish between different areas or visualize the layout
Solution Approach 1:
The patent segments the property interior into distinct rooms or portions, with each image associated with specific dimensional data for its corresponding room. This segmentation allows users to easily identify and visualize specific areas while maintaining a manageable system structure through organized data groups.
Solution Approach 2:
The patent introduces dimensional data as an intermediary element that bridges images and room identification. By associating dimensional information with each image, the system enables users to distinguish between different areas without requiring complex image metadata or tagging systems.
2Loss of information
If multiple images of the property are provided without dimensional context, then comprehensive coverage is achieved, but users struggle to understand spatial relationships and layout
Solution Approach 1:
The patent merges image data with dimensional data into integrated datasets, where each image is combined with the dimensional measurements of its corresponding room. This merging preserves spatial layout information while organizing data efficiently, reducing the cognitive load on users by presenting combined visual and quantitative information together.
3Measurement precision
If a camera perspective view is used for all images, then capture is simple, but users cannot effectively visualize the actual layout and proportions of rooms
Solution Approach 1:
The system employs image sensors and processors that automatically capture and analyze dimensional data from camera perspectives. The automated processing extracts spatial information and associates it with images without requiring manual measurement or complex data entry, maintaining simplicity in data collection while achieving precise room dimensions and layout accuracy.
Data Source
AI summary
A computer-implemented method for providing user interaction data associated with a property is presented. A plurality of dimensions associated with a portion of the property may be determined. Image data associated with the portion of the property may be determined using an image sensor. The plurality of dimensions associated with the portion of the property may be associated with the image data associated with the portion of the property to generate the user interaction data associated with the property. The user interaction data may be provided via a user interface. The user interaction data may allow a user of the user interface to view at least one image of the portion of the property. The at least one image may be based on the plurality of dimensions associated with the portion of the property and the image data associated with the portion of the property.