Articles Tagged with ''Artificial Intelligence (AI)''

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective implementation relies on precise lighting to ensure high-quality images, with different applications requiring specific setups, such as backlights for measurements and line scan lights for fast-moving materials.

AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.

The combination of closed loop quality systems and AI-driven machine vision is transforming manufacturing by enabling real-time adjustments and proactive problem-solving.

The manufacturing industry is evolving due to Artificial Intelligence (AI) and robotics, significantly impacting job outlooks, as highlighted by the U.S. Bureau of Labor Statistics. This article will explore quality trends and provide guidance for future changes.

Additive manufacturing (AM) is revolutionizing industries by enabling the production of complex metallic components, but it also presents unique challenges in quality assurance. This article examines the vital role of nondestructive testing (NDT) in ensuring the integrity and reliability of AM products.

Enterprise Resource Planning (ERP) is evolving rapidly with advancements in AI and shifting workforce priorities. Businesses must embrace these changes to enhance decision-making, operational efficiency, and sustainability for a competitive edge.

Discover how advancements in AI and automation are transforming universal testing machines, offering enhanced accuracy and safety while posing new challenges in workforce training and user experience.

Medical device companies are adopting APIs to enhance operational efficiency and speed up product development while meeting regulatory requirements. APIs enable seamless data exchange between software systems, streamlining processes like clinical trial data collection and quality management.

Prepare for a transformative shift in quality management as sustainability becomes essential. Major updates are set for 2026 with ISO 9001, integrating AI into quality systems, followed by a significant overhaul of ISO 14001 in 2028.

The 2025 landscape may shift significantly as more than half of companies plan to boost AI and automation spending. Insights from the Annual Quality Spending Survey emphasize a focus on quality and rising cybersecurity concerns. Discover the trends shaping the future of manufacturing.