Drone Surface Inspection Using Projected Reference Image
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Solution Overview
Problem
Inspecting undifferentiated surfaces with drones is challenging due to their uniform appearance, making it difficult to accurately locate defects in images captured by drones, as the images are largely similar and time-consuming to analyze.
Innovation Solution
The method involves projecting a reference image onto the surface, which is captured by the drone's camera along with the surface, allowing for easy correlation of defect images to their corresponding locations on the surface for further examination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drone inspection is performed on an undifferentiated surface, then defect detection capability is improved, but image analysis time increases significantly
Solution Approach 1:
A reference image is introduced as an intermediary element that is projected onto the undifferentiated surface and captured by the drone camera. This reference image contains identifiable features that serve as a mediator between the uniform surface and the defect detection process, enabling rapid location identification without requiring complex analysis of the undifferentiated surface itself
Solution Approach 2:
The reference image acts as a copied map or template that is overlaid onto the actual surface. By capturing both the surface and the reference image together in the drone footage, the system creates a visual copy that can be easily correlated with physical locations, eliminating the need for time-consuming analysis of the undifferentiated surface features
2Area of stationary object
If drone captures images of uniform surface, then coverage area increases, but location identification difficulty increases
Solution Approach 1:
The reference image serves as a mediator that bridges the gap between the drone's aerial view and ground location identification. By projecting this reference pattern onto the surface and capturing it simultaneously with the surface imagery, the system enables easy correlation between image coordinates and physical locations across large coverage areas
Solution Approach 2:
The reference image introduces visual differentiation through its distinct pattern, colors, or features that contrast with the uniform surface. This visual variation allows the drone camera to easily distinguish and locate specific areas within the coverage zone, transforming an otherwise indistinguishable uniform surface into a locatable landscape
Data Source
AI summary
Drone inspection of an undifferentiated surface using a reference image is disclosed. A plurality of images of a surface of a structure are analyzed to identify at least one image that depicts a feature in a portion of the surface based on a feature criterion, the plurality of images being generated by a drone comprising a camera, each image depicting a corresponding portion of the surface, and at least some of the images depicting the corresponding portion of the surface and a portion of a reference image. A location on the surface that corresponds to the at least one image is determined based on a depiction of the reference image in an image of the plurality of images.