Calibration is essential for maintaining quality and safety in industries like pharmaceuticals, food and beverage, and chemicals. The future looks to digital certificates and AI technology to make calibration processes faster and more efficient. This article discusses how AI is set to transform calibration.
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.
Here are a handful of example quality control processes that focus on the measurement of torque, with emphasis on sectors where testing is highly regulated, FDA 21CFR Part 11 being a prime consideration.
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.
Hyperspectral imaging allows us to look deep under the surface of objects. Machine vision, in particular, uses this innovative camera technology and thus paves the way for entirely new possibilities in quality management. This benefits a wide range of industries, such as food and beverages, agriculture, and pharmaceuticals.