Object recognition classification and defect detection method based on machine vision

Abstract

The present invention is a machine vision-based item identification classification and defect detection method, comprising the following steps: an item type identification and classification process based on a support vector machine; the item type identification and classification process includes a model training process and a loading model to realize the classification process; The defect detection process of the visual defect detection algorithm; the described defect detection algorithm based on machine vision includes a graphics correction process and the Hu invariant moment of the calculated graphics to compare the similarity; judge whether there is a defect in the picture according to the detection result. The invention performs multi-classification through the support vector machine training template and the loading template, can identify the types of different objects, can realize the detection of different objects, improves the generality of the algorithm, and improves the accuracy and detection speed of defect detection.

Description

technical field [0001] The invention belongs to the field of machine vision detection, and in particular relates to a machine vision-based object recognition classification and defect detection method. Background technique [0002] In recent years, with the development of technology, automatic production of products is one of the main trends in the development of modern production. Automatic production is of great significance to accelerate the development of social productivity, improve enterprise production technology, and reduce labor force. [0003] Under the demand of high-end consumption and rapid growth of production capacity, enterprises want to improve their competitiveness, and product testing is becoming more and more important. Product surface defects can be divided into many types, such as: wrinkles, scratches, stains, etc. Therefore, the defect detection of machine vision is also essential. [0004] Traditional manual visual inspection is not only inefficient...

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Problems solved by technology

For example, the Chinese patent application with the publication number CN106872487A published on June 20, 2017 discloses "a method and device for detecting defects based on visual surfaces". Technical means, but the purpose is to classify the complex texture defects on the surface of the cloth, so that the surface defects of cloth with different textures can be detected, which can be applied to the detection of surface defects of various cloth; but the detection object of this document is still limited to the cloth Surface defect detection cannot be used for the classification and identification of items, nor can it be applied to the defect detection of different types of items, and the versatility is not strong

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