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Standard work is vital for improving safety, efficiency, and quality by establishing the best way to perform tasks consistently. By documenting and implementing these processes, organizations foster a culture of continuous improvement, empowering employees and driving cost savings.

This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.

Alyssa Rodriguez, PhD, director of the Alaska Manufacturing Extension Partnership Center, talks manufacturing, labor, and more in Alaska.

Advancements in Contact Image Sensor (CIS) technology are transforming machine vision. They offer high speed, resolution, and a compact design ideal for tight inspection tasks in battery and PCB production lines. With features like high dynamic range and accurate metrology, CIS enhances quality control and efficiency in modern manufacturing.

Dustin Smith, metrology and software training lead at Assurance Technologies Inc., addresses common questions from his GD&T course. He emphasizes the need for everyone—from sales to engineering, production, and quality—to have a basic understanding of GD&T.

Modern vision systems need high-performance wide-angle lenses for applications like autonomous robots and agricultural monitoring. Rectilinear lenses offer straight lines and high resolution without the barrel distortion of fisheye lenses, enabling accurate object detection and real-time performance without the need for post-processing corrections.

The pericentric lens captures a top view and a 360° lateral view of cylindrical objects, needing careful selection to fit the image within the camera sensor. Its 24° angle provides adequate side visibility, reducing the need for dedicated side cameras and lowering costs.

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.