Resources for Smart Manufacturing

If you’re heading to MD&M South 2026 in Charlotte next week, we’ll be on the Advanced Manufacturing Stage on Wednesday April 22. Our Software …

AI pallet verification is solving one of the most stubborn problems in high-volume manufacturing: the loading dock. Manual barcode scanning is slow, error-prone, and …

TL;DR Deploying AI on the shop floor is proving harder than the level of industry investment suggests. Manufacturers continue to prioritize smart manufacturing and …

TL;DR: AI and labor in manufacturing are increasingly shaped by a structural labor shortage, not just by whether the sector is up or down …

TL;DR: Deep learning for Quality Inspection helps manufacturers move beyond brittle, hand-coded computer vision, especially when defects and environments are highly variable. This article …

TL;DR Most factories still treat inspection as a simple pass/fail gate at the end of the line, which limits its value to catching bad …

TL;DR: The J-curve in manufacturing describes a normal pattern when new technology hits the shop floor: a short dip in productivity and profitability as …

TL;DR: • Real-time pass/fail and defect categorization belong on the edge – there’s no time budget for the cloud at 1,000–1,500 parts/minute and 40–50 …

TL;DR:The European Union’s Artificial Intelligence Act (EU AI Act, Regulation (EU) 2024/1689) is the world’s first comprehensive, horizontal AI law. It applies even to …