Automated Infrastructure Damage Assessment Using UAV Aerial Imaging
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Solution Overview
Problem
Infrastructure damage assessment is time-consuming and hazardous for on-site personnel, as they need to physically inspect damaged infrastructure, which delays repairs and increases risk of injury.
Innovation Solution
An automated infrastructure evaluation system using UAVs or satellites to capture aerial images within specified boundaries, analyzing them to determine damage severity and cost of repairs, allowing for remote assessment without on-site presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-site personnel physically inspect damaged infrastructure, then damage assessment can be performed, but the process becomes time-consuming and hazardous
Solution Approach 1:
The patent uses aerial images captured by UAVs or satellites as copies of the infrastructure, allowing inspectors to assess damage from remote locations without physically traveling to hazardous sites. The system processes these image copies to identify damage, eliminating the need for on-site presence while maintaining assessment accuracy.
Solution Approach 2:
The patent introduces an automated image processing system as an intermediary between the infrastructure and the inspector. The system captures aerial images, processes them through algorithms that identify damage patterns, and presents results to inspectors, thereby eliminating direct on-site inspection requirements.
2Measurement precision
If on-site personnel physically inspect damaged infrastructure, then damage assessment can be performed, but personnel face increased risk of injury
Solution Approach 1:
The patent uses aerial images captured by UAVs or satellites as copies of the infrastructure, allowing inspectors to assess damage from remote locations without physically traveling to hazardous sites. The system processes these image copies to identify damage, eliminating the need for on-site presence while maintaining assessment accuracy.
Solution Approach 2:
The patent introduces an automated image processing system as an intermediary between the infrastructure and the inspector. The system captures aerial images, processes them through algorithms that identify damage patterns, and presents results to inspectors, thereby eliminating direct on-site inspection requirements.
3Loss of information
If inspectors manually document and calculate repair costs, then comprehensive assessment can be performed, but the process is time-consuming
Solution Approach 1:
The patent implements an automated system that performs the complete assessment process without manual intervention. The image processing algorithms automatically identify damage, calculate repair costs, and generate reports, allowing the system to serve itself rather than requiring inspector time for documentation and calculations.
Solution Approach 2:
The patent replaces the manual mechanical process of inspection, documentation, and cost calculation with an automated computational system. Image processing algorithms substitute for inspector analysis, automatically determining damage severity and repair requirements, thereby dramatically increasing productivity.
Data Source
AI summary
A method and system may survey a property using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. The method may include identifying a commercial property for a UAV to perform surveillance, and directing the UAV to hover over the commercial property and capture aerial images at predetermined time intervals. Furthermore, the method may include receiving the aerial images of the commercial property captured at the predetermined time intervals, detecting a surveillance event at the commercial property, generating a surveillance alert, and transmitting the surveillance alert to an electronic device associated with an owner of the commercial property.