Welding defect detection method and device, electronic equipment and storage medium

Abstract

The invention provides a welding defect detection method and device, electronic equipment and a storage medium, and relates to the field of defect detection. The method comprises the steps: constructing a sample data set, wherein the sample data set comprises a plurality of preprocessed images containing welding spot areas; constructing a multi-task learning network model, wherein the multi-task learning network model comprises at least two sub-networks; employing at least two sub-networks for detecting defect position information and predicting defect classification information at the same time; training a multi-task learning network model by utilizing the sample data set; inputting a prediction result output by the trained multi-task learning network model into a decision fusion model; and finally, collecting the welding spot area graph, inputting the collected image into the trained multi-task learning network model, and outputting a prediction result according to the weight determined by the decision fusion model. The method has the advantages of being convenient to test and high in precision.

Description

technical field [0001] The present application relates to the field of defect detection, in particular, to a welding defect detection method, device, electronic equipment and storage medium. Background technique [0002] In the existing manufacturing process of the load cell, the strain gauge is the most commonly used sensing element. The welding quality of the strain gauge's welding spot directly affects its performance, so monitoring the quality of the welding spot of the sensor is very important to improve the quality of the sensor product. [0003] Welding defects of the sensor include more tin, less tin, missing solder, short circuit, etc. Due to the small size of the strain gauge, finding defects by manual observation increases the workload of the inspectors, which is easy to misjudgment, and at the same time, the efficiency is low, which is not as fast as the production line. Mismatch. [0004] In order to achieve defect detection more quickly, the commonly used wel...

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Problems solved by technology

[0006] The purpose of this application is to provide a welding defect detection method, device, electronic equipment and

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