Vision & Sensors

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The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.

Machine vision has evolved significantly over the past forty years, and the demand for specialized solutions has increased in recent years. This article will explore current and future imaging requirements.

Industry solutions and products rely on common standards and interfaces, enabling seamless collaboration and increasing efficiency.

Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.

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?

In the fast-paced and dynamic world of manufacturing, one trend is clear: short-wave infrared (SWIR) imaging and sensing is revolutionizing the industry.

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 famous quote "Adapt or die" applies to businesses like Kodak and Blockbuster, which missed out on opportunities by not embracing new technologies. This concept also applies to industries like manufacturing and logistics today.

Quality managing editor Michelle Bangert talked with Justin Newell, CEO of Inform North America, who recently wrote an article for Quality on trustworthy AI.