Product cleaning detection method based on machine vision

Abstract

The invention discloses a product cleaning detection method based on machine vision. The product cleaning detection method comprises the following steps of receiving and transmitting products out of aproduction line through a conveying roller way, and during entering each region, performing overturning movement on the products through clamping by mechanical arms on two sides; rinsing dirt on thesurfaces of the products through rinsing nozzles, and performing drying on the surfaces of the products through thermal wind blowing from a drying top hood, then performing image collection on weldingworkpieces on the conveyor belt through an image collector, and feeding the collected images back to an industrial control computer for analysis treatment; and performing contrast analysis on detection parameters and standard parameters through the industrial control computer, determining an error range, finally storing the error range in the industrial control computer, and performing feedback to personnel through a displayer. The product cleaning detection method disclosed by the invention has the characteristics of being simple in structure, convenient to operate, low in cost and the like,automatic cleaning detection of a large quantity of products can be realized, the detection efficiency and the detection precision are effectively improved, and the product cleaning detection methodis used for providing strong guarantee for modernized industrial production.

Description

technical field [0001] The invention relates to a product cleaning detection method based on machine vision, belonging to the technical field of machine vision detection. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Brightness, color and other information are converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discriminat...

AI Technical Summary

Problems solved by technology

[0003] In modern industrial production, product production is characterized by continuous mass production. While traditional manual inspection adds huge labor and management costs to the enterprise, it still cannot guarantee a 100% inspection rate (that is, "zero defect") , and today's competition among enterprises has not allowed even 0.1% of defects to exist