Don't cut corners on color-matching tools. Professional equipment has advantages that imitations can't match. Learn more in this article.

As brands and their suppliers adopt digital workflows to help accelerate product ideation and reduce waste, companies need to go beyond color and digitize both color and appearance characteristics.

How new optical sensors work and how they might be used to address critical needs for part qualification and process control in precision manufacturing applications.

Over the years, color quality control has evolved significantly, driven by advances in technology and changing industry needs.

Simple changes to how you use color measurement technology and the right training can significantly impact quality control and your bottom line. Here are seven questions every quality control manager should be asking.

It is crucial to hit the right color tone in the production process and to produce it homogeneously across numerous batches. Color not only leaves an impression of quality, but can also be used as an indirect variable to control the process.

Color is a critical part of any product. It’s the first thing your customer sees. Whether you are manufacturing components for assembly or finished assembled goods, the color has to be right every time or you risk scrapping, reworking, or discounting the product. This impacts your bottom line.

Color is just one of the many aspects of an effective quality control program that needs to be strategically managed to ensure accurate and consistent end products. However, color can be surprisingly challenging to get right.

The automotive industry depends on consistency and predictability. From the color of the paint to the stiffness of the brake, car manufacturers devote significant amounts of time and money into making sure their products look immaculate and feel safe to drive.

Uniformity has long been associated with quality perception, and color can be one of the most striking visual giveaways if products are inconsistent. As a result, consumers are more likely to associate these color flaws with inferior, low-quality products or brands.