Image Subset Selection for Structure Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for assessing structures, such as vineyards and roads, face challenges in achieving sufficient coverage and accuracy due to the time-consuming nature of human travel and the large quantity of information generated by automated capture systems, leading to increased costs.
Innovation Solution
The method involves selecting a subset of images based on environmental factors and geospatial variations to form a combined sampling pattern, which focuses on areas with higher density in lower regions and recent rainfall, allowing for efficient image selection and ordering to aid in accurate assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive image capture is performed to ensure sufficient coverage of the structure, then assessment accuracy is improved, but the quantity of images to be reviewed increases leading to longer assessment time
Solution Approach 1:
The patent extracts and selects only the most relevant images from the complete set of captured images based on environmental factors and geospatial variations. This extraction process identifies and isolates the critical subset of images that contain the most valuable assessment information, eliminating the need to review all captured images while maintaining assessment accuracy.
Solution Approach 2:
The patent applies local quality by differentiating image selection based on specific locations and environmental conditions within the structure. Different regions are assigned different sampling densities and selection criteria according to their environmental factors (such as humidity, temperature, exposure) and geospatial characteristics, ensuring that areas with higher risk or greater variability receive more intensive sampling while lower-risk areas use lighter sampling.
2Area of stationary object
If automated capture systems are used to collect information from structures that are difficult to access, then coverage is improved, but the large quantity of captured information increases review time and costs
Solution Approach 1:
The patent performs preliminary action by pre-processing and pre-selecting images based on environmental factors and geospatial variations before the actual assessment review. The system automatically analyzes metadata, environmental conditions, and spatial relationships in advance to identify and prioritize the most informative images, so that when the assessor reviews images, they are already filtered and organized in an optimal sequence.
Solution Approach 2:
The patent changes parameters by using environmental factors (humidity, temperature, rainfall) and geospatial variables as selection criteria. These parameters are used to dynamically adjust the sampling strategy, selecting images from locations and conditions that are most likely to reveal assessment-relevant features, thereby reducing the total number of images that need manual review while maintaining comprehensive coverage.
3Productivity
If environmental factors and geospatial variations are considered in image selection, then assessment efficiency is improved, but the complexity of the selection process increases
Solution Approach 1:
The patent introduces an intermediary layer that automatically processes environmental factor data and geospatial information to generate selection criteria. This intermediary system acts as a bridge between the complex environmental data and the simple image selection task, translating multiple environmental parameters and spatial relationships into a straightforward ranked list of images for review, thereby hiding the complexity from the end user.
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
A method for displaying a sequence of review images related to a structure, said method comprising: receiving (501) a review target (313) for the structure and an environmental factor (305) affecting at least one property of the structure; selecting (503), from a plurality of captured images related to the structure, a plurality (321) of review images of at least a part of the structure based on the review target, the environmental factor and position information associated with the review images with respect to the structure; and causing a display device to display the selected review images ordered according to the review target to form the sequence of review images.