Autonomous Machine Vision Improves Injection Molding Quality

A Bosch plant that produces plastic molded connectors for automotive manufacturers implements Inspekto’s S70 machine vision system, resulting in immediate savings and an improvement in connector quality.

全球竞争和市场预期对汽车制造商的压力越来越大,以提高其质量保证(QA)程序。这是领先的制造商,远离手动检查程序和自动检查,以降低成本并提高产品质量。

The challenge in making this move is finding and implementing the right machine vision systems for each application. A new trend in automated vision inspection is the use of autonomous machine vision (AMV).

塑料注塑成型,汽车制造的共同组成部分,“对传统机器视觉系统构成了很多问题”,“首席执行官Nir解释说:Inspekto.是AMV技术的供应商。“塑料的高反射表面很难正确地照亮。此外,如果模具和塑料聚合物是类似的颜色,并且可用的照明是理想的,则缺乏对比度可以使机器视觉系统工作非常困难。Combine this with the fact that traditional vision systems can only inspect one type of product at a time—though manufacturers need to create product lines in different colors and sizes—and it’s easy to see why a fundamental change in machine vision is needed,” he adds.

这种颜色对比问题具有机器视觉技术正是问题博世在Waiblingen正面临在其工厂,德国。This plant produces plastic molded connectors for vehicles that are made using multiple production lines and injection molding machines.

该工厂采用传统的最先进的机器视觉系统,一些内部开发,其他由外部机器视觉专家创建和整合的其他机构。不幸的是,这些系统并不适用于检查黑色背景上的黑色聚合物零件。结果,几乎不可能设置机器视觉QA系统的参数以识别缺陷。

这意味着质量检查员必须手动检查连接器,繁琐和重复的工作。这些缺陷不仅在被人眼检查时容易忽略,但人员成本很大。在读取工业报告中的自主机器愿景后,博世开发工程师要求Inspekto看看公司是否可以为其机器视觉挑战提供解决方案。

“这[Inspekto的S70 AMV产品]是第一个用于Visual QA,门控和排序的独立产品,”Nir说。“这是自我设置,自学和自我调整,可用于检查任何处理方法生产的项目。”INSPEKTO声称S70的能力消除了特征传统机器视觉技术的昂贵集成和定制的发展。

Inspekto的S70在串联中运行三个AI(人工智能)发动机。根据NIR的说法,它可以合并计算机愿景,深度学习和实时软件优化技术,以实现即插即用视觉检查。“随着AMV,LIGHT条件,线振动和不同的处理条件已成为过去的噩梦。检查对象放置,容忍和方向的变化将不再停止生产。我们本质上与此产品本质上的视觉检查,其中从用户需要开始检查产品的所有产品。安装过程旨在快速且简单。植物自己的员工可以在不使用外部系统集成商的情况下设置和培训系统。“

More importantly the S70 only requires an average of 20 to 30 good samples to learn the characteristics of a perfect product, according to Nir. “Therefore, there’s no need to set up parameters to train the system to recognize mistakes, like with traditional solutions,” he said.

Because of these advantages, Bosch decided to run a pilot project in Waiblingen and see if it would help where traditional machine vision systems had failed.

Engineers at the plant have extensive experience in machine vision, so it wasn’t difficult to integrate the pilot system. The initial installation took about an hour, plus less than a day to factor in the small adjustments that were made to optimize the speed of the process. It took another 20 minutes to learn the software program; then, all that was necessary was to plug in the camera so that inspections could begin.

在安装过程中,生产线保持正常运行,工厂没有经历任何停机时间。由于Inspekto S70可以在没有从控制系统的任何输入的情况下运行,因此它与生产线并联运行。

The cost of the initial system was amortized in less than a month, with immediate savings and an improvement in quality. Because the pilot system worked so well, Inspekto says Bosch ordered an additional S70 for an overseas subsidiary and another for an older application in Waiblingen.

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