Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages

Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages

Manual inspection of infrastructure damages such as building cracks is difficult due to the objectivity and reliability of assessment and high demands of time and costs. This can be automated using unmanned aerial vehicles (UAVs) for aerial imagery of damages. Numerous computer vision-based approach...

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Bibliographic Details
Main Authors: Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, Muhammad Jamaluddin Thaheem, Ahsen Maqsoom
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Drones
Subjects:
building damages
convolutional neural networks (CNNs)
computer vision
cracks
generative adversarial network (CycleGAN)
infrastructure inspection
Online Access:https://www.mdpi.com/2504-446X/6/1/5

Internet

https://www.mdpi.com/2504-446X/6/1/5

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