Deep learning-based tunnel lining disease intelligent detection method
A deep learning and intelligent detection technology, applied in the field of tunnel disease detection, can solve the problems of strong subjectivity and low efficiency of diseases, and achieve the effect of improving work efficiency
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[0032] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0033] As shown in the figure, the intelligent detection method for tunnel lining diseases based on deep learning in this embodiment includes the following steps:
[0034] S1: Collect the images of the tunnel vault, arch waist and side wall, and then select the images with diseases through manual detection, crop the disease images, and mark the disease category and location information, and then make a tunnel lining composed of the marked disease image samples. Disease dataset.
[0035] In this step, the tunnel inspection vehicle is specifically used to conduct fast and uninterrupted inspection of multiple tunnels. The inspection vehicle uses three cameras to scan the tunnel lining. The three cameras collect images of the tunnel vault, arch waist and side wall respectively. The cameras use 4K line scanning. The camera adopts the half-frame mode acquisiti...
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