| 周向荣， 张鑫， 宋微微， 朱俏俏， 冀少坤， 刘理正.基于机器视觉的饮料瓶盖检测剔除系统[J].轻工机械,2022,40(4):57-61 |
| 基于机器视觉的饮料瓶盖检测剔除系统 |
| Beverage Bottle Cap Inspection and Rejection System Based on Machine Vision |
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| DOI：10.3969/j.issn.1005 2895.2022.04.010 |
| 中文关键词: 机器视觉 饮料瓶盖 斜滑道 星轮 |
| 英文关键词:machine vision beverage bottle caps inclined slide star wheel |
| 基金项目: |
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| 摘要点击次数: 293 |
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| 中文摘要: |
| 为解决筛查有缺陷饮料瓶盖因采用人工而存在劳动强度大、生产效率低等问题，笔者设计了一种基于机器视觉的饮料瓶盖检测、剔除系统。提出了视觉检测机的整体结构以及工作流程；为保证视觉检测的稳定性，采用斜滑道和星轮结构将瓶盖先收集后等距输出；采用2个视觉检测工位分别检测瓶盖四周和瓶盖内部，双工位在减少机构的复杂度的同时提高了视觉检测的效率和准确性；采用高速气体喷嘴装置，实现对不合格瓶盖的高速准确剔除。使用结果表明：该系统具有99.99%的检测正确率，生产速度可达800 个/min。在保证产品质量的同时极大减少了人力劳动，实现了瓶盖检测剔除的智能化。 |
| 英文摘要: |
| In order to solve the problems such as high labor intensity and low production efficiency in screening beverage bottle caps with defects, a beverage bottle cap inspection machine based on machine vision was designed. The overall structure and working process of the visual inspection machine were proposed. To ensure the stability of the visual inspection, the bottle caps were collected first and then output at an equal distance by using the inclined slide and star wheel structure. Two visual inspection stations were used to detect around and inside the cap respectively, which reduced the complexity of the mechanism and improved the efficiency and accuracy of visual inspection. The high speed gas nozzle device was adopted to achieve high speed and accurate rejection of unqualified caps. The results show that the equipment has a detection accuracy rate of up to 99.99%, a production speed of 800 pieces per minute, which greatly reduces human labor while ensuring product quality and realizes the intelligence of the bottle cap inspection line. |
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