An Unmanned Aerial Vehicle(UAV)and an Improved Mask R-CNN-based Method for Exterior Wall Crack Detection
Currently,Traditional methods for detecting building exterior cracks are inefficient and risky.This study proposes a drone and computer vision-based approach.Using drones,we created a crack dataset and introduced an improved Mask R-CNN for crack detection.The results show the enhanced Mask R-CNN offers smarter and more precise crack detection.
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