Mechanical casting defect detection method and system based on artificial intelligence

Abstract

The invention relates to the technical field of mechanical part detection, in particular to a mechanical casting defect detection method and system based on artificial intelligence. The method comprises the following steps: acquiring at least two mechanical casting initial images; performing image segmentation on the image to obtain a suspected crack defect area image; obtaining principal component directions of the suspected crack defect area images, and determining different convolution kernel sizes and sliding step lengths of the suspected crack defect area images based on different principal component directions; inputting each suspected crack defect area image into a convolutional neural network for image feature extraction, and finally outputting the probability that each pixel point in the image belongs to the crack defect; and detecting the defects of the mechanical casting based on the trained convolutional neural network. The method and device greatly improve the speed of network training, improve the details of feature comparison in the network training process, improve the detection accuracy, and improvs the efficiency of defect recognition.

Description

technical field [0001] The invention relates to the technical field of mechanical parts detection, in particular to an artificial intelligence-based method and system for detecting defects in mechanical castings. Background technique [0002] The manufacturing industry has very strict requirements on the process quality of mechanical castings, and there are many methods for detecting defects in mechanical castings. Most of the detection of general castings still remains in the way of manual detection. Manual visual inspection not only consumes manpower and material resources, but also exists. The problem of low efficiency and low accuracy. [0003] At present, it is disclosed to use the training of neural network to complete the online detection of mechanical casting defects, but the recognition process of neural network is to recognize the whole image, the whole training process is too slow and there are many network parameters, although the detection accuracy is improved, ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the object of the present invention is to provide a method and system for detecting defects in mechanical castings based on artificial intelligence, and the adopted technical solutions are as follows:

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