Product quality control equipment based on sample data training and quality control method

Abstract

The invention discloses product quality control equipment based on sample data training and a quality control method. The equipment is applicable to automatic product production lines and comprises aplurality of image collecting devices and a control terminal; the control terminal comprises a quality judgment module and a technological parameter adjusting module; the quality judgment module prestores a quality judgment module, and outputs a corresponding quality judgment grade according to input digital images, the quality judgment module is obtained by training artificial intelligence data;the technological parameter adjusting module prestores technological parameters of step-by-step machining equipment and a technological parameter adjusting model corresponding to the semi-finished product quality judgment relationship; the control terminal outputs and controls the corresponding step-by-step machining equipment. According to the product quality control equipment based on sample data training and a quality control method, production equipment is guided to automatically adjust the technological parameters, the intelligentized, automatic, high-efficiency and low-consumption automatic production line is obtained, and therefore it is ensured that the product quality is controlled.

Description

technical field [0001] The invention relates to the field of automatic processing, in particular to product quality control equipment and a quality control method based on sample data training. Background technique [0002] With the gradual maturity of machine vision technology, automation equipment that uses machine vision technology to improve the level of automation is gradually put into use. Machine vision technology replaces many tasks that can only be done manually in industrial production, such as quality inspection, etc., and has higher detection efficiency and lower false detection rate, which greatly improves production efficiency. [0003] In the prior art, when machine vision technology is applied to industrial inspection, it can only detect simple quality information (such as length, size, color, etc.) of products using vision technology based on simple feature recognition algorithms; However, in the industry, the quality information of most products often has ...

AI Technical Summary

Problems solved by technology

At present, the detection technology for complex features in the field of industrial detection is still blank

[0005] In addition, when the semi-finished products in the production line have complex characteristic quality inspections, it is impossible to dynamically adjust the process parameters in real time according to the complex characteristic quality judgment information of the semi-finished products, which is not conducive to the improvement of the overall quality of the product, and the quality of the produced products is also relatively unstable.

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