Resources for Smart Manufacturing

TL;DR: Standardization in visual inspection is where AI shines.  AI models, once trained on diverse, well-labeled examples of good parts and defects, apply the …

TL;DR:Humans and AI on the shop floor work best as partners, not rivals. AI excels at speed, consistency, and pattern recognition in areas like …

TL;DR: Generative AI in manufacturing is racing up the hype cycle, and manufacturers are feeling pressure to “do something with GenAI” long before the …

TL;DR: Human visual inspection performance drops quickly during repetitive work, which makes consistent defect detection across long shifts hard to sustain. Traditional rule-based vision …

TL;DR:Generative AI for knowledge retrieval in manufacturing works best when it is grounded in your own documentation and tested like any other production system. …

TL;DR:A confusion matrix for visual inspection is a simple table that compares an artificial intelligence (AI) model’s inspection decisions to the ground truth, showing …

A while ago we wrote a blog about how classic AI e.g. machine Learning (ML) is ready for prime time on the shopfloor while …

TL;DR:Synthetic data in manufacturing refers to artificially generated data, such as images or sensor signals, that is designed to resemble real production data and …

TL;DR:AI is reshaping manufacturing by attacking long-standing pain points like slow, error-prone manual quality control and costly unplanned downtime. In visual inspection, machine learning …