Read in this blog post what Factor 1 proximity sensors are and what advantages they offer for automotive production
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Introduction Unsupervised anomaly detection with unlabeled data – is it possible to detect outliers when all we have is a set of uncommented, context-free signals? The short answer is, yes – this is the essence of how one deals with network intrusion, fraud, and other types of low-instance anomaly. In
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Instead of randomly or exhaustively iterating through combinations of algorithms and parameters, we can use Bayesian Optimization libraries to build up an in-memory approximation to the process we want to fine-tune. We can then make a our selections on prior knowledge.
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Handling microfluidics and evaluating samples based on light is a precise science. And that precision comes from the light source, not the actual detection method
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Time-to-event (TTE) use-cases crop up in many places across industries. Some examples would be: the prediction of customer churn (the sales domain), remaining-useful-life or time-to-failure TTF (predictive maintenance), or anomaly detection (machine monitoring). Some events are difficult to predict as they are hidden. We can instead try to look for interim events to improve prediction accuracy.
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Time-to-event (TTE) use-cases crop up in many places across industries. Some examples would be: the prediction of customer churn (the sales domain), remaining-useful-life or time-to-failure TTF (predictive maintenance), or anomaly detection (machine monitoring).Some events are difficult to predict as they are hidden. We can instead try to look for interim events to improve prediction accuracy.
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Medical equipment gets a lot of attention since the Coronavirus pandemic. Automation and sensors help to improve patients health condition.
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In Metalworking a significant part of the products are realized by forming and stamping processes, especially for series applications. The monitoring technology for press control has achieved a remarkable progress within the last years.
Optimized cycle rates lead to increased productivity and output. At the same time, there is a rising risk of asset damage, especially if unexpected errors occur. Automated protection of the tools and dies helps to increase OEE. Sensors for process monitoring are key elements.
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Digitalization accelerates numerous internal organizational processes and influences the development of new products and solutions. Growing complexity and shorter development times increase the pressure on organizations. In order to be able to compete with new companions on the market, speed is – besides speed – a major competitive factor. For this reason, Balluff has been implemented so-called „Strategic Incubation Programs” (SIPs) to develop new business ideas.
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Miniaturization is a highly relevant trend in medical and lab technology. Increasing automation, constant object size reduction and increasing accuracy requirements lead to a higher integration degree. Driving applications are lab-on-a-chip, portable units or even invasive components like micropumps or catheters with sensor functions
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