Manufacturers are integrating metrology, using data analytics, automating maintenance, and embedding measurement processes in production for greater efficiency and predictability.

AI is revolutionizing quality control in manufacturing, driving us into Industry 4.0 and beyond. Manufacturers can streamline processes, boost efficiency, and deliver top-notch products globally. Embracing AI isn't just advantageous; it's essential for thriving in today's economy. Businesses must invest in AI to empower their workforce and stay ahead in the rapidly evolving manufacturing landscape.

Michelle Banger and Ed Goffin of Pleora Technologies discuss his recent article for Quality called “Cutting Through the Complexity of AI.” 

Discovering, evolving, and sometimes unsettling, artificial intelligence mirrors our human learning. Yet, as it integrates further, questions arise: Can it handle quality assurance? What's in the future? And crucially, how much control are we comfortable relinquishing to it?

Artificial intelligence brings a new dimension of precision and efficiency to automated inspection applications.

ROME—Automation firm Comau and aerospace supplier Leonardo S.p.A. are working together to develop self-adaptive robotic technology that can autonomously inspect helicopter blades up to 7 meters long.

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

Automation systems encompass various technologies beyond just robots, such as machine vision. Integrating machine vision with robots enhances automation capabilities. Advancements like 3D imaging, AI software, and industrial computing are driving new applications and efficiencies across industries.

Quality organizations are at the forefront of adopting AI in electronics manufacturing, addressing well-defined challenges that impact business efficiency. While traditional quality control methods like functional tests and visual inspection are common, AI's integration is revolutionizing these processes with advancements in machine vision and enhanced analytical capabilities.

Kitov.ai announces significant improvements to its flagship software platform with the introduction of version 2.7.