Workpiece length measuring method and system

Abstract

The invention relates to a workpiece length measuring method and system, and belongs to the field of workpiece size measurement. The method comprises the following steps: constructing a coding path; constructing a feature splicing path comprising an ECA module and two down-sampling modules; an activation layer of the ECA module adopts a sigmoid activation function to activate a feature vector input into the activation layer, and an element-level multiplication layer is used for multiplying a feature map output by the first coding network by the feature vector output by the activation layer to obtain a cross-channel interactive feature map; constructing a decoding path, training the constructed image segmentation network, inputting a to-be-detected workpiece image into an image segmentation network model, carrying out skeleton refinement on a workpiece area in an output segmentation feature map, and determining the length of a to-be-detected workpiece according to pixel parameters and camera calibration parameters of the to-be-detected workpiece image. Labor and time cost can be saved, the efficiency of the whole workpiece length measurement process is improved, and meanwhile the accuracy of the measurement result is improved.

Description

technical field [0001] The invention relates to the field of workpiece size measurement, in particular to a method and system for measuring the length of a workpiece. Background technique [0002] Realizing accurate and efficient workpiece size measurement is of great significance for ensuring product quality, improving factory production efficiency and operating profit. In recent years, with the continuous improvement of the level of industrialization, machine vision measurement technology has become one of the mainstream methods for workpiece size measurement due to its advantages of high precision, fast speed and non-contact. However, the existing machine vision measurement technology mainly relies on traditional image processing algorithms. In order to obtain specific workpiece information in the image, a large number of manual feature design is required. Not only the labor and time costs are too high, but also the robustness is poor, resulting in The cost of workpiece ...

AI Technical Summary

Problems solved by technology

However, the existing machine vision measurement technology mainly relies on traditional image processing algorithms. In order to obtain specific workpiece information in the image, a large number of manual feature design is required. Not only the labor and time costs are too high, but also the robustness is poor, resulting in The cost of workpiece size measurement is high and the effect is poor

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