• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2215005 (2021)
Yunzuo Zhang*, Panliang Yang, and Wenxuan Li
Author Affiliations
  • School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China
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    DOI: 10.3788/LOP202158.2215005 Cite this Article Set citation alerts
    Yunzuo Zhang, Panliang Yang, Wenxuan Li. Detection of Cable Leakage Fixture in Railway Tunnel Based on Improved SSD Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215005 Copy Citation Text show less

    Abstract

    Aiming at the problems of large amount of detection data of cable leakage fixtures and low manual detection efficiency in tunnel, a cable leakage fixture detection algorithm in tunnel based on the improved single shot MultiBox detector (SSD) algorithm is proposed. This algorithm uses feature maps with different scales to detect fixture objects, and improves the SSD network structure in terms of network width and network depth. The network width is deepened by combining the Inception structure, the residual structure is used to optimize network depth structure while increasing network depth, the depthwise separable convolution and 1×1 convolution structure are used to reduce the amount of model parameters and improve the model structure, so as to improve the model detection efficiency. The improved model is applied to the image detection of cable leakage fixture in tunnel. Experimental results show that the average detection accuracy of this algorithm reaches 86.6%, and the detection speed reaches 26.6 frame/s, which has obvious advantages over the original SSD algorithm and MobileNet SSD algorithm.
    Yunzuo Zhang, Panliang Yang, Wenxuan Li. Detection of Cable Leakage Fixture in Railway Tunnel Based on Improved SSD Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215005
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