Container position detection method and device
A detection method and a container technology, applied in the field of image processing, can solve the problems of inability to accurately identify the outline of the container to determine the position and direction of the container, and the low efficiency of sorting operations, so as to achieve the effect of improving the efficiency of sorting operations
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no. 1 example
[0032] Please refer to figure 2 , figure 2 A flow chart of a method for detecting the position of a container provided by an embodiment of the present invention is shown. The container position detection method includes the following steps:
[0033] Step S1, acquiring a container image including at least one container, wherein each container includes identification information.
[0034] In the embodiment of the present invention, the container image may be a grayscale image including at least one container. It can be understood that the image of the container may include one container, two containers, or three containers. boxes, or more boxes. The crates are the same type of crates. The container image can be captured by the camera 106 in real time. The container image can be as image 3 shown. Each container contains identification information, and the position of the identification information relative to each container is fixed. The identification information may ...
no. 2 example
[0081] see Figure 10 , Figure 10 A schematic block diagram of a container position detection device 200 provided by an embodiment of the present invention is shown. The container position detection device 200 includes a container image acquisition module 201, an optical distortion correction module 202, a matching information acquisition module 203, a first target acquisition module 204, a second target acquisition module 205, a feature information acquisition module 206, and a container overlap judgment module. module 207 and feature information output module 208.
[0082] The cargo box image acquisition module 201 is configured to acquire a cargo box image including at least one cargo box, wherein each cargo box includes identification information.
[0083] It can be understood that the container image acquisition module 201 can execute the above step S1.
[0084] The optical distortion correction module 202 is configured to perform optical distortion correction on the ...
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