Machine vision-based online detection device of sizes of small-type and mini-type shaft parts

Abstract

The invention discloses a machine vision-based online detection device of sizes of small-type and mini-type shaft parts. The device mainly comprises a pedestal, a movable camera support, a motor, a speed reducer assembly, a rotation light source detection disc and a control part. The motor and the speed reducer assembly are installed on the pedestal. The rotation light source detection disc is connected with the speed reducer assembly via a bearing and a coupling. The core of the control part is a single-chip microcomputer. The rotation light source detection disc is the core of the whole detection device, and comprises a detection housing body, an LED light source, a light guiding plate, a reflection plate, a light diffusion plate and an object carrying plate. The light source is embedded into the detection device, so the integrality of the device is improved. The objective of the invention is to solve the problem that current detection means of for sizes of small-type and mini-type shaft parts do not meet automatic production requirements in the modern industry. According to the invention, non-contact online monitoring can be achieved; problems of low-efficiency and non-automation of manual measurement can be solved; and quite high measurement precision and quite fast measurement speed can be achieved, thereby greatly increasing measurement efficiency.

Description

technical field [0001] The invention relates to the field of size detection based on machine vision, in particular to the online size detection of small and miniature shaft parts. Background technique [0002] Machine vision is the use of optical devices for non-contact perception, automatically acquiring and interpreting an image of a real scene to obtain information and / or control a machine or process, that is, converting the ingested target into an image signal through machine vision products and transmitting it to a dedicated The advanced image processing system converts the information into digital signals according to the pixel distribution, brightness, color and other information; 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. Machine vision can be understood as adding a visual device to the machine, so that the m...

AI Technical Summary

Problems solved by technology

At the same time, the horizontal and vertical adjustability of the camera bracket and the replaceability of the rotating light source detection disc improve the adaptability of the entire detection device, and solve the problem of fixed and single objects for the detection of small and miniature shaft parts in machine vision.

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