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- W3120719449 abstract "In this paper, in order to realize the intellectualization of port container gate detection, an automatic container inspection system based on machine vision and edge calculation is designed and implemented. Firstly, the frame difference method is used to start the program, and then the container is stitched by frame. After the container is stitched completely, its beam deformation, surface depression and corrosion are inspected respectively. For beam deformation, a detection algorithm based on image edge information and non-linear least squares method is proposed; for surface depression, an image vertical gradient combined with two-dimensional convolution detection algorithm is proposed; for surface corrosion, a detection algorithm based on age map combined with gray gradient co-occurrence matrix is proposed. The designed system can complete the real-time damage detection in the monitoring video at the edge of the network, so as to reduce the computing pressure of the cloud computing center. Through the test of 7-channel video of a gate in Tianjin port, the accuracy of automatic detection of three kinds of defects are 91.8%, 87.9% and 86.8% respectively." @default.
- W3120719449 created "2021-01-18" @default.
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- W3120719449 date "2020-10-30" @default.
- W3120719449 modified "2023-10-16" @default.
- W3120719449 title "Automatic Damage-Detecting System for Port Container Gate Based on AI" @default.
- W3120719449 cites W2567675128 @default.
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- W3120719449 doi "https://doi.org/10.1145/3436369.3436480" @default.
- W3120719449 hasPublicationYear "2020" @default.
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