Due to advancements in sensor technology, shortwave infrared (SWIR) imaging is gaining traction in industrial applications. This growth is expected to drive a 28% annual increase in the machine vision market, enhancing food inspection, waste recycling, and agriculture.

Paul Lang, chief global strategy officer for the American Society for Nondestructive Testing (ASNT) and executive director for ASNT Certification Services LLC (ASNT CS), shares his thoughts on trends and liquid penetrant testing.

Selecting the right lighting for machine vision is challenging, as achieving optimal contrast and consistent illumination is crucial for effective image processing. This article discusses the complexities of lighting design, including front versus backlighting and bright versus dark field illumination, and explores how LED technology and the lighting cube concept can streamline your vision system.

Manufacturers can significantly enhance product quality through automation, potentially reducing quality issues by 50-75%. However, to achieve these improvements, companies must integrate quality control systems, understand the costs of quality issues, and clearly define quality goals when sourcing automation solutions.

A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.

Robotics is rapidly advancing from science fiction to practical uses across industries like manufacturing, logistics, and healthcare. Key trends include autonomous systems operating independently, robots collaborating with humans for improved productivity and safety, and AI integration that allows robots to learn and adapt. This technology enables both large enterprises and SMEs to optimize processes and meet growing demands.

Leak testing of EV battery cells and modules is vital for safety and defect prevention in North America's growing mobility industry. Early detection of leaks, especially during module assembly, saves time and money while ensuring quality control.

The manufacturing sector faces challenges like labor shortages and supply chain issues. Adopting standardized modular inspection systems can boost efficiency, improve communication, and reduce costs. These tools also facilitate advanced technologies, helping manufacturers thrive in a competitive landscape.

Generative AI Searches are transforming how professionals access technical data in fields like inspection and gages. While these tools deliver quick results, reliance on their outputs can lead to inaccuracies, as shown by discrepancies in thread specifications. Understanding the strengths and limitations of Generative AI is essential for ensuring the accuracy and relevance of information used in gage calibration and metrology.

The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.