Visual defect detection method and system based on intelligent mobile terminal

Abstract

The invention discloses a visual defect detection method and system based on an intelligent mobile terminal. The visual defect detection method comprises the following steps: acquiring a picture of ato-be-detected product by a camera of the intelligent mobile terminal; then, analyzing and processing the acquired picture by a product defect detecting APP which is installed on the intelligent mobile terminal; sending a detecting result to an industrial controller through a router; processing the product by the industrial controller according to the detecting result. According to the visual defect detection method and system based on the intelligent mobile terminal, image acquisition and processing equipment, such as an industrial camera and an industrial PC, is not required, so that the system is simple in structure and low in cost.

Description

technical field [0001] The invention relates to the technical field of visual defect detection, in particular to a visual defect detection method and system based on an intelligent mobile terminal. Background technique [0002] At present, people's demand for individualized products has changed the production mode of enterprises from the original single, large-scale production to multi-category, small-batch production. At present, most enterprises use manual inspection for the detection of product defects with many types and small quantities. Manual detection is affected by factors such as labor intensity, worker experience and subjective emotion, and the accuracy and efficiency of detection are low. And with the development of the current industry, the requirements for product quality are becoming more and more stringent, and the traditional manual defect detection method has been difficult to meet the production demand. [0003] If you use an industrial PC machine vision...

AI Technical Summary

Problems solved by technology

Manual detection is affected by factors such as labor intensity, worker experience and subjective emotions, and the accuracy and efficiency of detection are low

And with the development of the current industry, the requirements for product quality are becoming more and more stringent, and the traditional manual defect detection method has been difficult to meet the production needs

[0003] If you use an industrial PC machine vision inspection system, you need to purchase supporting equipment, such as industrial cameras, lenses, industrial computers, etc., which are expensive

And for different types of products, different detection systems need to be developed, the development process is cumbersome and the efficiency is low

Industrial smart cameras integrate image acquisition, processing and communication functions into a single camera, which has a high degree of integration, but poor openness. For various types of product detection, the development process is relatively complicated, and industrial smart cameras are expensive

[0004] The above detection methods are difficult to meet the needs of testing products with multiple types, small batches and simple defects

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