This article is designed to assist people that test for leaks using air in industrial quality control and want to learn how they can determine a leak test specification beyond zero leaks.
Leak testing is an important quality control measure in manufacturing. This article provides guidance on determining leak testing specifications by exploring factors and modifying existing specifications or creating new ones.
As automation simplifies and enhances manufacturing processes, quality control staff see significant career advantages, making a shift towards more efficient, consistent, and data-driven production environments.
Manufacturing automation is on the rise, offering quality control workers a career advantage. Stefan Friedrich of New Scale Robotics notes that as manufacturers embrace automation, it becomes more user-friendly, aiding new workers in using robots and software effectively.
Real-time processing is becoming increasingly important, especially in environments where machines need to make instantaneous decisions.
February 3, 2025
Event-based vision technology addresses challenges in industrial machine vision, such as data overload and the need for real-time processing, by efficiently capturing changes in a scene with high speed and low power consumption.
The question is not whether manufacturers should adopt AI, but how quickly they can start reaping its benefits.
February 3, 2025
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 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.
The combination of closed loop quality systems and AI-driven machine vision is transforming manufacturing by enabling real-time adjustments and proactive problem-solving.
AI is profoundly reshaping manufacturing, enabling businesses to achieve higher quality standards, greater operational efficiency and more imaginative resource utilization.
AI-powered predictive maintenance helps anticipate machine failures, allowing for proactive action that saves time and costs. According to a Deloitte study, 86% of manufacturing executives believe that AI and intelligent technologies will enhance competitiveness in the next five years.
NORTH CHARLESTON, SC—Boeing is investigating a new quality issue with its 787 Dreamliner after discovering that hundreds of fasteners on some undelivered jets have been incorrectly installed.
Computer tomography (CT) has traditionally been used in the healthcare field. But, engineers at BMW recently started to use the technology to improve quality. They use it for prototype development, production and analysis, a first in the automotive industry.
Project quality and product quality are different things, but they are inextricably linked—or they should be. It is possible for a project to seem successful and deliver the anticipated result, only to find out later the product is not what was expected.