UAV Autonomous Perpendicular Imaging for Structural Assessment
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Solution Overview
Problem
Current methods for assessing structures, such as roof inspections, require trained technicians to physically visit sites, leading to inefficiencies, safety concerns, and high costs, as they often involve manual data collection and lack uniformity in data capture.
Innovation Solution
A UAV assessment and reporting system that uses autonomous flight patterns to capture comprehensive images of structures, including boustrophedonic, loop, and micro scans, eliminating the need for on-site technicians by integrating sensors like cameras, sonar, and lidar for detailed structural analysis and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trained technicians physically visit sites for roof inspections, then detailed structural assessment can be performed, but efficiency is reduced, safety concerns arise, and costs increase
Solution Approach 1:
The patent replaces manual mechanical inspection by technicians with an automated UAV-based imaging system. The UAV autonomously captures images of the roof surface, and image processing algorithms automatically analyze the captured images to detect defects, eliminating the need for physical technician presence while maintaining assessment accuracy.
Solution Approach 2:
The system creates digital copies (images) of the roof surface using UAV-mounted cameras. These image copies are then processed through automated algorithms to extract structural information, replacing the need for physical examination while preserving all necessary assessment data.
2Loss of information
If trained technicians manually collect data on-site, then comprehensive structural information can be obtained, but data capture uniformity is compromised and time consumption increases
Solution Approach 1:
The system replaces manual data collection with automated UAV imaging and computer vision algorithms. The UAV systematically captures images across the entire roof surface, and automated processing extracts all necessary structural information simultaneously, ensuring data completeness while dramatically reducing collection time.
Solution Approach 2:
The UAV performs continuous imaging as it flies across the roof surface, capturing data without interruption. The automated image processing pipeline continuously analyzes images in real-time, maintaining uninterrupted data flow from capture to analysis, eliminating the discontinuous nature of manual inspection.
3Measurement precision
If multiple image orientations are captured to ensure perpendicular alignment, then imaging accuracy improves, but system complexity and processing time increase
Solution Approach 1:
The system replaces complex mechanical alignment mechanisms with computational methods. The UAV captures images at various orientations, and image processing algorithms automatically detect features and calculate the perpendicular orientation mathematically, eliminating the need for complex physical alignment systems.
Solution Approach 2:
The system changes the approach from controlling physical orientation parameters to processing orientation data computationally. By capturing images with varying orientations and using algorithmic processing to determine the correct perpendicular alignment, the system simplifies the physical system while improving measurement precision through computational analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enables efficient, safe, and cost-effective structural assessments, reducing the need for on-site technicians and providing uniform, high-resolution data capture, allowing for accurate structural analysis and reporting without the need for manual data collection.
Implementation Method 1
capture images of the roof with the camera
Implementation Method 2
int egrate sensors like cameras, sonar, and lidar for detailed structural analysis
Implementation Method 3
int egrate sensors like cameras, sonar, and lidar for detailed structural analysis
Data Source
AI summary
An assessment and reporting system may utilize one or more scanning techniques to provide useful assessments and/or reports for structures and other objects. The scanning techniques may be performed in sequence and optionally used to further fine-tune each subsequent scan. The system may receive or determine a pitch of a surface of a structure or otherwise orthogonally align an optical axis of a camera with respect to a planar surface. An imaging system may capture perpendicular images of sample regions that have a defined area-squared.