Object Dimension and Material Detection via Spatial Reference
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Solution Overview
Problem
Current object recognition algorithms are limited in determining the dimensions and construction materials of objects within images, especially when objects are part of a larger scene or require spatial relationships with other objects for accurate identification.
Innovation Solution
An image processing system that identifies specific objects within an image, determines their dimensions and materials by using spatial relationships with other objects, and retrieves information from a data repository based on embedded codes or geographic positioning data, enabling accurate output of dimension and material information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If object recognition algorithms are used to identify objects in images, then object identification capability is improved, but the ability to determine dimensions and construction materials accurately deteriorates
Solution Approach 1:
The patent introduces reference objects with known dimensions as intermediaries between the image capture device and the target objects. These reference objects serve as mediators that enable accurate scale determination by providing a known reference frame, allowing the system to calculate real-world dimensions of identified objects through spatial relationship analysis.
Solution Approach 2:
The patent transitions from two-dimensional image data to three-dimensional real-world measurements by incorporating depth information and spatial relationships.通过使用参考对象和空间关系分析，系统能够将图像中的二维像素距离转换为三维真实世界距离，从而实现对对象尺寸的精确测量。
2Measurement precision
If algorithms use spatial relationships with other objects for identification, then identification accuracy is improved, but system complexity deteriorates
Solution Approach 1:
The patent performs preliminary identification and classification of reference objects before using them for measurement. By pre-establishing the identities and dimensions of reference objects, the system reduces the computational complexity during the actual measurement process, as the reference framework is already in place.
Solution Approach 2:
The patent divides the image processing task into separate modules: object identification, reference object recognition, spatial relationship analysis, and dimension calculation. This segmentation allows each module to be optimized independently, reducing overall system complexity while maintaining high identification accuracy.
3Loss of information
If data repositories and multiple data sources are integrated, then information completeness is improved, but processing time deteriorates
Solution Approach 1:
The patent pre-loads and organizes material property data in structured data repositories before it is needed for analysis. By having material databases, cost information, and property data ready in advance, the system minimizes processing time during actual object analysis while maintaining complete information availability.
Solution Approach 2:
The patent retrieves data from multiple sources selectively based on the specific needs of each object being analyzed. Rather than processing all available data for every object, the system queries only the relevant data repositories needed for that particular analysis, reducing processing time while maintaining information completeness.
Data Source
AI summary
Methods, systems, and apparatus, including medium-encoded computer program products, facilitate determining information about an object included in an image. In one aspect, a method includes: identifying an image; identifying a specific object included in the image; identifying data associated with the image; determining both a dimension of the specific object and a construction material of the specific object using the identified data; and outputting the dimension and the construction material of the specific object.