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Machine vision-based online detection method for apertures of LED glass lamp cups

A technology of LED glass and machine vision, applied in instruments, measuring devices, image data processing, etc., can solve problems such as inability to guarantee product quality consistency, low manual inspection efficiency, and inability to conduct online inspections, so as to improve the comprehensive competitiveness of enterprises. , save labor costs, improve the effect of consistency

Inactive Publication Date: 2018-11-23
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under such circumstances, manual detection is not only inefficient, but also cannot be detected online
Moreover, after working for a long time, it is easy to cause problems such as missed detection and false detection, and the consistency of product quality cannot be guaranteed.

Method used

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  • Machine vision-based online detection method for apertures of LED glass lamp cups
  • Machine vision-based online detection method for apertures of LED glass lamp cups
  • Machine vision-based online detection method for apertures of LED glass lamp cups

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The LED glass lamp cup moves along the moving direction of the conveyor belt. When it moves to the detection area, the photoelectric sensor obtains the arrival signal of the LED glass lamp cup. After conditioning, the signal triggers the camera to take a frame of photos, and the collected images are transmitted to the industrial PC through the cable. Computer and PC carry out the corresponding image processing program, and the result of image processing is transmitted to the control module through RS232 in the form of instructions. If it is a lamp cup with an unqualified aperture, the STM32 control system controls the air claw and the cylinder to separate it by driving the solenoid valve and the air pump. Otherwise, the STM32 control system does not perform any operation, and the lamp cup with a qualified aperture flows to the next process. The specific steps of the image processing program are as follows:

[0044] Step (1): Threshold segmentation:

[0045] f(x, y) re...

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PUM

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Abstract

The invention relates to a machine vision-based online detection method for the apertures of LED glass lamp cups. According to the method, the functions of performing real-time monitoring and classifying on the apertures of the LED glass lamp cups on a conveyor belt are achieved; the automation degree of lamp cup production is improved; and the defects of low manual detection efficiency, incapability of guaranteeing product quality consistency and the like are overcome. The method has the advantages of high efficiency, high detection precision, online detection and the like; the production efficiency of enterprises can be greatly improved; the consistency of product quality is improved; the enterprises can be promoted to realize intelligent manufacturing and fine management modes; and thecomprehensive competitiveness of the enterprises is improved.

Description

technical field [0001] The invention belongs to the field of machine vision, and in particular relates to an on-line detection method for the aperture of an LED glass lamp cup based on machine vision. Background technique [0002] Due to the hard and brittle texture of the LED glass lamp cup, the grinding height of the grinding wheel grinder of the existing glass grinding process cannot be automatically adjusted. With the loss of the grinding wheel grinding sheet in the production process, the aperture of the polished lamp cup is not uniform. It even causes a large amount of waste products, which seriously affects the follow-up production process. At present, in view of the above situation, most traditional LED glass lamp cup manufacturers still completely rely on manual detection of the lamp cup aperture with the help of precision needle gauges. The LED glass lamp cup aperture inspection project has the characteristics of long labor time and high repeatability. Under such...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/136G01B11/08
CPCG01B11/08G06T7/0004G06T2207/10004G06T2207/30108G06T7/12G06T7/13G06T7/136
Inventor 杨宇翔楼衍廷高明煜何志伟黄继业曾毓
Owner HANGZHOU DIANZI UNIV
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