(58f) Three Challenging Applications of Quantifying Critical Characteristics with Machine Vision (Poster)

In the era of Industry 4.0, Big Data, and Digitalization, manufacturers are increasingly seeking opportunities to gain actionable insight from their process data. Some key product or process characteristics however, remain difficult to measure with conventional sensors or rely on expensive or time-consuming sampling and lab measurement.

Machine vision solutions are a mature technology that enable reliable, online measurement of visual and thermal product properties. These systems are capable of quantifying critical product characteristics such as texture or size distribution that would otherwise be difficult to measure.

This presentation will focus on three challenging use cases and will provide an overview of the use case, hardware details, algorithm details, and results for each application. The applications include quantifying:

• Texture of synthetic rubber crumb using color imaging
• Stirring intensity of hot metal using color videos
• Size distribution and moisture of iron ore using a polarization camera