Multivariate Analysis

Equipment fouling is a common operational challenge in manufacturing environments. Fouling can lead to major economic consequences due to increased operating costs and decreased productivity associated with the unplanned shutdowns required for frequent cleaning. Equipment performance is reduced when unwanted material accumulates on the solid surfaces of heat exchangers, furnaces, pipes, reactors, etc.  A fouled [...]

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 [...]

The RPD framework helped Mitsubishi Chemical formulate golf ball cores. The results included a 5% reduction in costs of an existing product, and the development of a new product with improved properties.

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.

Empowering Dow Chemical to fill the demand for low-volume, high-urgency orders of custom specialty chemicals using ProSensus’ RPD framework.

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 herbicide manufacturer was producing many out-of-specification batches in their batch dryer. Multivariate analysis was used to troubleshoot why unacceptable chemical structural changes were occurring.

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.

ProSensus worked with its client to select the right blending ratios and process conditions to achieve target properties in the final product while minimizing raw material costs. What are bioplastics? The term "bioplastics" is often used interchangeably with "biodegradable plastics". However, the most commonly used definition, as defined by the industry advocate European Plastics, states [...]