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Railway tunnel leaky cable fixture detection method based on improved SSD algorithm

A detection method and tunnel technology, which is applied in computing, image analysis, image enhancement, etc., can solve problems such as slow speed, low precision, and poor real-time performance, and achieve the effect of improving model structure, improving detection efficiency, and reducing model parameters

Active Publication Date: 2021-04-30
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

Algorithms based on two-stage generally have high precision, but slow speed and poor real-time performance
In the regression-based one-stage algorithm, the YOLO algorithm is faster, but the accuracy is not high

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  • Railway tunnel leaky cable fixture detection method based on improved SSD algorithm
  • Railway tunnel leaky cable fixture detection method based on improved SSD algorithm
  • Railway tunnel leaky cable fixture detection method based on improved SSD algorithm

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Embodiment Construction

[0045] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0047] SSD object detec...

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Abstract

The invention discloses a railway tunnel leaky cable fixture detection method based on an improved SSD algorithm, and relates to the technical field of image processing methods. According to the method, feature maps of different scales are used for detecting a fixture target, and the network structure of the SSD is improved in the aspects of network width and network depth. According to the method, the network width is increased mainly by combining an Inception structure; the network depth structure is optimized while the network depth is improved by adopting a residual structure; and a depth separable convolution and 1 * 1 convolution structure is used to reduce the model parameter quantity, improve the model structure and improve the model detection efficiency. The improved model is applied to detection of tunnel leaky cable fixture images, experimental results show that the average detection accuracy of the method reaches 86.6%, the detection speed reaches 26.6 fps, and the method has obvious advantages compared with an original SSD algorithm and a MobileNet SSD algorithm.

Description

technical field [0001] The invention relates to the technical field of image detection methods, in particular to a method for detecting leaky cable fixtures in railway tunnels based on an improved SSD algorithm. Background technique [0002] With the rapid development of high-speed railway, the importance of safe operation of high-speed railway has become increasingly prominent. The railway mobile communication system is an important link to ensure railway wireless communication. The coverage of communication networks in mountainous areas and tunnels mainly depends on leaky cables. Communication leaking coaxial cables are usually suspended from the tunnel walls and held in place by clamps. When a high-speed train passes by, the air pressure and energy waves will have a certain impact on the fixture. At the same time, the fixture is also affected by various environmental factors, and it is easy to loosen or even fall off. Once a failure occurs, it is easy to cause traffic ac...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20081G06T2207/20084Y02T10/40
Inventor 张云佐
Owner SHIJIAZHUANG TIEDAO UNIV
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