“Safety First!” – as cliché as it sounds and sometimes even said in humor, it is a very important statement. It is a deep conviction by the employees, managers, and owners of Keox Technologies, that NOBODY will get hurt or injured – employees, customers, vendors and anyone else. Although it’s a 24-hour constant task, one regular activity that we really apply our safety conviction to is during our system installs.
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Every other year the Machine Vision industry looks forward to one of the most important trade shows for us in the industry – The Vision Show. This year, The Vision Show 2018 seems to be a little bigger than in the past, with 150+ exhibitors in Boston. As with most industry and tradeshows, The Vision Show 2018 highlighted trends in the industry with conferences and speakers. The latest trends in the industry seems to be in Embedded Vision, Industrial Internet of Things (IIoT), Collaborative Robots (Cobots), to just name a few. Instead of focusing on the usual highlights of the
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Applying the Six Sigma process can improve manufacturing performance and improve quality. Six Sigma is a set of statistical tools and data-driven process used for process improvement – whether it is for manufacturing, finance, customer service, or any business process that can benefit from process improvement. Of course for Keox Technologies, we work mainly in the context of manufacturing and improving our customers’ quality and process control. There are two main methodologies of Six Sigma – DMAIC and DMADV (for “Define, Measure, Analyze, Improve, and Control“ and “Define, Measure, Analyze, Design, and Verify“, respectively). Keox Technologies follows a variant that
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Keox Technologies was given an application by a client where they needed to differentiate colors of powder coated metal. The challenge is that some powder being Electrically Spray Deposited (ESD) were very similar in color such that the human eye cannot easily distinguish the coating result. Additionally, natural process variability of the powder coating process, such as varying film thicknesses, baking temperature variation, and even contamination of the chamber, also affected the final color result. With the subtle wrong color used, it caused product variations and gave the perception of lesser quality control, especially when parts are placed next to
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There’s no doubt about it – the Machine Vision Industry is poised to grow. It’s valued at 9.10 billion USD in 2016 and $19.22 billion by 2025. It’s clear that demand for Machine Vision Engineers is growing proportionally in order to handle this growth.
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