How Multivariate Machine Vision Can Improve Operations

By |2015-01-29T00:05:42-05:00January 29, 2015||

QuantifyMachine vision is a growing field that leading manufacturers are adopting to improve their operations, product quality, and profit margins.

Forecasted to be a 26.9 billion dollar industry by 20201, it also happens to be a field where we offer our clients advanced solutions.


Benefits of Multivariate Machine Vision

Manufacturers across multiple industries are embracing machine vision to obtain new measurements to tune processes, identify off-spec product, and discover new insights into product quality.

To be successful with machine vision, both the right hardware and the right software is required. Given the multitude of hardware vendors and several software options, it can be a challenging space to navigate. For this reason, we offer our clients on-site trials as a first step to a complete, all-in-one machine vision solution.

Test New Imaging Applications On-Site.

We understand being the internal advocate for imaging projects can be challenging. An on-site trial enables all stakeholders such as operators, engineers and managers to view real-time images and visualize the benefits of installing a permanent system. With clarity around realistic benefits, it tends to bring quantifiable results to support imaging projects.

4 Steps to a Successful On-Site Machine Vision Trial

Whether your product is moving along a conveyor or is stationary, we can help you configure a trial to suit your needs. The most important decision you need to make is choosing the appropriate camera(s) for your requirements. For example, what type of camera shows the features you are interested in monitoring? Color, thermal, short-wave infrared or spectral cameras? What resolution is necessary to view the images clearly?

Trials include camera(s) and supporting equipment, a screen to display preliminary results, and a comprehensive report that details expected benefits and next steps. Most importantly, a trial minimizes risks by testing out hardware prior to purchasing a permanent system.


If you can spot differences in your product with the naked eye and wish to quantify these differences, color cameras are most appropriate. Thermal cameras quantify temperature variations in product and short wave infrared or spectral cameras can identify chemical components of a product.

After your camera selection(s), mounting and lighting equipment including any protection ratings required on trial equipment are chosen, determine what preliminary results should be displayed, configure your output screen and software and voila! Your on-site trial is ready to begin! Last but not least, a final report including next steps will be provided after the trial is completed.

Book a Multivariate Machine Vision On-Site Trial

We believe that testing a new machine vision system at your own manufacturing site prior to making a capital investment is a good idea. Our complete machine vision solutions have evolved from our extensive off-line algorithm expertise in extracting features from images using multivariate analysis. Coupled with our hardware experience and niche software offerings, our solutions now cover flame imaging, chemical imaging in pharmaceuticals, food inspection, and rubber bale inspection systems.

If you are looking for new ways to improve profitability in 2015, multivariate machine vision could be your answer. To book an on-site trial or ask questions, contact our imaging manager, Marlene Cardin.


  1. BCC Research. (2014). Global Markets for Machine Vision Technologies.

About the Author: Marlene Cardin

Marlene Cardin
Marlene Cardin, MASc
Director of Projects
Since 2007, Marlene has helped many Fortune 500 companies in the pharmaceutical, food & beverage, speciality chemical, and oil & gas industries get actionable insights from their big data. In addition to working closely with our consulting clients, Marlene oversees the growth of our ProVision division which offers fully turnkey machine vision systems for real-time quality monitoring & control. Marlene has a Bachelor’s degree in Chemical Engineering and a Master’s Degree in Applied Science from McMaster University (Hamilton, Ontario). Marlene completed her Master’s degree under the supervision of ProSensus founder, Dr. John F. MacGregor.