Product quality detection device based on machine vision

Abstract

The invention discloses a product quality detection device based on machine vision. By arranging an intermittent driving mechanism at one side of a conveying mechanism and then arranging a pushing mechanism which takes the reciprocating motion, the pushing mechanism can be matched with the intermittent driving mechanism to work, the intermittent driving mechanism intermittently drives the drivingmechanism to work so as to implement intermittent movement of a conveying belt, facilitate enabling a space between two adjacent separators to reach an auxiliary table when the conveying belt stops moving, the pushing mechanism is enabled to push a pushing plate onto the conveying belt so as to push a product placed on the conveying belt onto a supporting table in a detection room, and then the pushing mechanism is enabled to drive the pushing plate to move back onto the auxiliary table without influencing continuous movement of the conveying belt; and by arranging a movement mechanism in thedetection room and arranging a lens frame on the movement mechanism, a camera can be placed in the lens frame so as to achieve a quality detection effect of machine vision, and working of the movement mechanism can enable the lens frame to move on an X axis, a Y axis and a Z axis.

Description

technical field [0001] The invention relates to a quality detection device, in particular to a product quality detection device based on machine vision. 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 Information such as brightness and color is 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 discrimination. [0003] At ...

AI Technical Summary

Problems solved by technology

[0003] At present, the machine vision quality inspection device is inconvenient to adjust, and the inspection after taking pictures is not comprehensive enough. At the same time, the products detected by the existing machine vision quality inspection device need to be manually put into the inspection device, which not only consumes manpower, but also quality The efficiency of detection is low, so it needs to be improved

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