Machine Vision

Machine vision can be used to precisely quantify the appearance of products and processes and can facilitate modeling, monitoring, control, and optimization of products and processes through visual quality metrics. There are numerous applications for machine vision in mining and metals.  The combination of digital images, process data, and multivariate analysis (MVA) can be an [...]

ProSensus' off-line machine vision systems provide our clients with the opportunity to conduct semi-automated just-in-time QA and ad-hoc product development.

One of the world's largest synthetic rubber producers came to ProSensus with customer-identified quality challenges. It was clear that both the human inspectors and the 2-camera inspection systems used in the company's plants weren't catching the problems.

ProSensus continues to assist leading manufacturers achieve higher quality standards by complimenting existing intermittent laboratory measurements with real-time, color and thermal camera-based quality inspection systems.

A multivariate machine vision system was implemented for feedback control of seasoning snack foods, and achieved a 50% reduction in seasoning content error.

Textural properties of snack foods are essential to customer satisfaction but they are very difficult to measure on-line. Multivariate modelling of acoustical sensor data can be used to predict these important properties in real-time at low cost.

ProSensus developed an image-based soft sensor to predict the carbon content in a basic oxygen furnace using multivariate analysis.

Irving Pulp & Paper chose ProSensus to create a soft sensor to stabilize their lime kiln process. Using real-time process measurements and images from a camera in the kiln, ProSensus developed a soft sensor that predicted kiln temperature hours in advance.