Inspection correction method of visual inspection device

Abstract

The invention relates to the technical field of visual inspection, in particular to an inspection correction method of a visual inspection device. The visual inspection device comprises a control system, a suction module, a correction module, a transmission module, an inspection module and a jig module. The inspection correction method comprises steps as follows: the suction module sucks a material, the transmission module drives the suction module to move, the inspection module is used for inspecting the position of the material sucked by the suction module when the suction module moves and passes by the inspection module, the inspection module inspects the edge outline position of the material and transmits data to the control system, the control system determines whether the position of the material is accurate, the correction module corrects the position of the material when the position is not accurate, the transmission module does not stop during the period when the inspection module inspects the material and the correction module corrects the position, and the suction module places the material on the jig module. The inspection speed is high, the device does not stop in the conveying process, the working efficiency is high, and the automation degree is high.

Description

technical field [0001] The invention relates to the technical field of visual inspection, in particular to a detection and correction method of a visual inspection device. Background technique [0002] Machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system refers to converting the target to be detected into digital signals through machine vision products (ie, image capture devices, such as CMOS and CCD), and these digital signals are then sent to dedicated image processing systems (sub-embedded and video card methods) ), the image processing system sets the detection task according to the task requirements to be detected, and then controls the on-site equipment action according to the result of the discrimination. [0003] Machine vision is used more and more in the field of automation. Many software developers use machine vision libraries provided by visual processing software such as Halcon and OpenCV to perform...

AI Technical Summary

Problems solved by technology

[0003] Machine vision is used more and more in the field of automation. Many software developers use machine vision libraries provided by visual processing software such as Halcon and OpenCV to perform recognition. Unfortunately, due to machine vision applications, lighting, surrounding environments, etc. The impact is very large, which makes it impossible to extract a suitable reference template, which ultimately affects the recognition effect

[0004] Existing visual inspection devices and methods are unable to correct the position of the detected materials or products, and at the same time, it is necessary to stop at the camera position for detection during detection, and problems such as low detection efficiency and low work efficiency need to be solved

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