Root cause analysis with AI is a new approach to get to the bottom of problems in production and eliminate them in the long term. In this way, unplanned downtimes can be avoided and quality defects in manufactured products can be reduced.
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The Unilin Group partnered with Robovision to develop an AI-based quality control system for their laminate manufacturing process.
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The worker sees the correct sequence and alignment of components through augmented reality glasses.
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Deep learning has now become the leading way of providing quality inspection.
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Leela AI recently announced the commercial release of Leela Platform, what is described as the first ‘commonsense’ visual AI solution designed to improve manufacturing productivity. Leela Platform is a visual
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The production of safety cabinets needs to fulfill high quality standards to ensure compliance with specifications. It is very important that all components are installed properly, in the right place,
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Augmented intelligence and artificial intelligence are both concepts that are often used interchangeably. However, the difference between the two has important implications for our understanding and expectations of technology. Here,
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In quality assurance, it is often necessary to reliably detect deviations from the norm. Industrial cameras have a key role in this, capturing images of products and analyzing them for
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Monolith, artificial intelligence (AI) software provider, is looking to accelerate growth opportunities in the automotive industry with a new addition to its senior management team. The UK based company has
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It sounds so simple – with just a little effort and training, a neural network learns to identify quality requirements. Scratches, cracks, shape defects and other faults are detected reliably
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