We are happy to announce our Camo Machine Vision solution which offers a practical approach to Quality 4.0 with automated real-time, non-invasive testing of every single product, without sacrificing throughput.
The solution builds on over 35 years of experience with spectroscopy and advanced sensor analysis in all aspects of industrial production, from raw materials to finished products.
“Quality 4.0 is changing how companies develop and manufacture products to meet continuously changing consumer demands, and I am thrilled to introduce a solution that effectively helps to ensure quality in various ways”, says Lars Gidskehaug, Product Manager at Camo Analytics.
“Camo Machine Vision completely changes how to look at cost of quality with a high degree of automation and prevention,” Lars continues.
With Camo Machine Vision companies no longer need to balance sample size against cost and time. Automated workflows and quality control reduce prevention cost to a minimum and exhaustive quality control eliminate failure costs.
Measuring quality with lab-like accuracy
Camo Machine Vision uses advanced sensors with scientific analysis to measure quality with instant results.
Product properties, such as physical properties from color down to particle size, sensory properties, chemical composition and ingredient distribution are all tested against their intended design, and documented for every product.
From automated testing of every product all the way to preventive quality control, Camo Machine Vision measure quality at the same level as in a lab without sacrificing throughput.
From inspection to prevention
Camo Machine Vision is integrated with existing processes and control systems to and monitor the entire process to detect quality issues and effectively prevent costly quality problems or unplanned downtime. Operators will be alerted about quality or inconsistency problems so they can take preventive actions.
“The solution is a quick win towards realizing the benefits of Quality 4.0,” says Product Manager Lars Gidskehaug.
“For example, companies can monitor processes and collect data in real time and apply analytics to predict quality issues. Digitalisation through Quality 4.0 is on the executive agenda to improve operations, competitiveness and profitability,” Lars continues.
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