We define machine learning and explain how it works within machine vision, with a focus on where machine learning can be effectively applied to enhance inspection reliability and capability.
ETQ just released the second annual global survey, the ETQ Pulse of Quality in Manufacturing. CEO Vick Vaishnavi sat down with Quality Managing Editor Michelle Bangert to discuss the study's interesting insights.
Artificial intelligence (AI) is currently the leading trend in machine vision. Every major machine vision software package incorporates AI as one of its tools, and even less common software options include AI features as well.
Coy Limon from 3D Infotech highlights how innovations like metrology automation, machine learning, and augmented reality (AR) are transforming quality control in manufacturing, enhancing efficiency and accuracy while integrating with Industry 4.0.
Skepticism surrounds AI among quality professionals, but innovative organizations are already using it to improve operations through conversational interfaces. This highlights AI's potential to streamline processes and enhance decision-making by adapting existing solutions.
Manufacturers face rising costs and supply chain disruptions, increasing the need for efficiency. Recent declines in Texas manufacturing highlight these challenges, but they also present opportunities for improvement. Many are adopting digital solutions to optimize operations and reduce waste.
Atty Chakraborty, our 2025 Quality Rookie of the Year, discusses her work in the emerging field of AI in the medical industry, including examples, predictions for the future, and how it may apply in your work.
Does your organization need the world's first ISO/IEC 42001 Artificial Intelligence (AI) Management System? In a world now immersed in AI activities, the question could be rephrased as, "Can you afford not to use an AI management system?"