Per-pixel Classification Rebar Exposures in Bridge Eye-inspection

by   Yasuno Takato, et al.

Efficient inspection and accurate diagnosis are required for civil infrastructures with 50 years since completion. Especially in municipalities, the shortage of technical staff and budget constraints on repair expenses have become a critical problem. If we can detect damaged photos automatically per-pixels from the record of the inspection record in addition to the 5-step judgment and countermeasure classification of eye-inspection vision, then it is possible that countermeasure information can be provided more flexibly, whether we need to repair and how large the expose of damage interest. A piece of damage photo is often sparse as long as it is not zoomed around damage, exactly the range where the detection target is photographed, is at most only 1 Generally speaking, rebar exposure is frequently occurred, and there are many opportunities to judge repair measure. In this paper, we propose three damage detection methods of transfer learning which enables semantic segmentation in an image with low pixels using damaged photos of human eye-inspection. Also, we tried to create a deep convolutional network from scratch with the preprocessing that random crops with rotations are generated. In fact, we show the results applied this method using the 208 rebar exposed images on the 106 real-world bridges. Finally, future tasks of damage detection modeling are mentioned.


Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks

Current methods of practice for inspection of civil infrastructure typic...

3D vision-based structural masonry damage detection

The detection of masonry damage is essential for preventing potentially ...

Damage Vision Mining Opportunity for Imbalanced Anomaly Detection

In past decade, previous balanced datasets have been used to advance alg...

A hierarchical semantic segmentation framework for computer vision-based bridge damage detection

Computer vision-based damage detection using remote cameras and unmanned...

Wooden Sleeper Decayed Detection for Rural Railway Prognostics Using Unsupervised Deeper FCDDs

It is critical for railway managers to maintain a high standard to ensur...

Aircraft Skin Inspections: Towards a New Model for Dent Evaluation

Aircraft maintenance, repair and overhaul (MRO) industry is gradually sw...

Please sign up or login with your details

Forgot password? Click here to reset