Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.
The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.
OCR is a challenging field in image processing. The industry aims to improve accuracy and reliability, but what are the key factors in choosing an OCR system?
Clear Seas Research conducted a study on behalf of Quality in order to look at trends in compensation, work hours, and job constraints; overall job satisfaction; and quality improvements, as well as provide a demographic profile of industry professionals. How does your work compare?
In a world where AI vision technology is setting new quality control standards across industries, machines can now detect even the smallest defects in car parts and ensure that every packaged product meets health standards.
Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.
The engineering work landscape is rapidly evolving with technologies like artificial intelligence, robotics, and additive manufacturing. Many engineers lack practical skills, and the industry faces a significant skills gap. Read how addressing this gap is crucial for engineering learning and development.