Method for identifying binary dot matrix code on mold surface

Abstract

The present disclosure relates to a process for identifying a binary dot matrix code on a mold surface, comprising: capturing a plurality of binary dot matrix code images of the mold surface; inputting the acquisition data into the YOLOv8 network model for training; recapturing the images to be tested and inputting them into the upgraded YOLOv8 network model for detection and output; calculating positional coordinates of vertices at the outermost periphery of the four bounding boxes based on the output results to obtain the distorted quadrilateral, which is converted into the square pattern by the perspective transformation; inputting the square pattern into the upgraded YOLOv8 network model for detection and outputting the results, and calculating the counterclockwise rotation angle θ; obtaining the standard pattern by rotating the square pattern by the angle θ; dividing the standard pattern into the image blocks with the same size in equal portions, and identifying the circular code points of the image blocks, concatenating the identification results to obtain the binary-encoded sequence data; and decoding the binary-encoded sequence data based on binary-encoded decoding rules, and deriving corresponding binary-encoded character information.