The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning

The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning

This study uses machine vision combined with drones to detect cracks in retaining walls in mountaineering areas or forest roads. Using the drone’s pre-collected images of retaining walls, the gaps in the wall are obtained as the target for sample data. Deep learning is carried out with neural networ...

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Bibliographic Details
Main Authors: Dong-Han Mo, Yi-Ching Wu, Chern-Sheng Lin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
machine vision
drones
retaining walls
crack detection
neural network architecture
gap hazard evaluation method
Online Access:https://www.mdpi.com/2076-3417/12/18/9289

Internet

https://www.mdpi.com/2076-3417/12/18/9289

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