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机器视觉检测在喷码领域的应用

时间:2017-10-24  来源:本文转载于网络,由机器视觉检测设备厂家创盈时代整理,欢迎转载,转载请注明出处  点击:384

机器视觉检测在喷码领域的应用介绍


饮料生产过程中,需要喷印当天的生产日期,目前生产日期打印的方式一般有两种:一是喷码机,在瓶盖或者是瓶身上喷印黑色的字符;二是激光打标机,又名激光喷码机,在瓶身颈部通过激光刻出有一定深度的无色的生产日期。

The beverage production process, need to print the production date, the production date printing generally has two kinds: one is the inkjet printer, the bottle or bottle printing black characters; the two is a laser marking machine, laser or inkjet printer, the bottle neck by laser engraved colorless a certain depth of the production date.


视觉检测设备


第一种方式灵活性比较高,但是经常会出现喷码机堵嘴的现场,导致喷印字符不全或者漏喷的现象;第二种方式在打码过程中容易出现打印重叠、少打、漏打等现象;针对以上问题大多数工厂采用人工方式进行检测,但这样会极大的影响生产速度。机器视觉检测可针对喷码的产品进行质量检测,将产品中出现的字体模糊、喷码变形、字符错误、点状字符无法连接等喷码质量缺陷进行分拣并剔除,保障所有产品喷码质量的一致性。
The first way flexibility is relatively high, but often the scene inkjet printing characters lead to gag, incomplete or spray leakage phenomenon; second ways to print overlap and play less, leakage phenomenon in the coding process; in view of the above problems were detected using artificial way of mining most factories, but this will greatly affect the production speed. Machine vision detection for quality detection for printing products, products will appear in the font fuzzy, printing deformation, wrong character, character dot printing quality defects such as connection cannot be sorted and removed, ensure the consistency of the printing quality of all products.

在外包装上,产品本身及标签上都会打印上条码以便企业建立产品的追踪系统,达到企业实时采集产品条码信息的要求。视觉检测设备厂家创盈时代凭借其出色的研发能力,为客户提供机器视觉检测一条龙服务。
In the outer packaging, the product itself and labels will be printed on the bar code, so that enterprises to establish product tracking system, to achieve real-time acquisition of product barcode information requirements. Visual inspection equipment manufacturers in the era of profit by virtue of its excellent R & D capabilities, to provide customers with machine vision inspection one-stop service.

深圳市创盈时代科技有限公司是一家专注于机器视觉,视觉检测设备,CCD光学检测设备,机器视觉检测,视觉方案定制,非标自动化设备的研发生产和销售于一体的国家高新技术企业。

原文地址:http://www.chytime-ccd.com/hyxw/248.html

本文关键字:机器视觉检测设备

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