See your process more clearly.

ProVision combines the power of multivariate statistical modeling with the detailed information contained in high quality colour images to help you truly "see" what is going on inside your process and as product moves down the line. The extracted information enables you to make adjustments that save time and money.

A ProVision system is like having an expert set of eyes on your industrial control system. Information is available in real time, second-by-second, and not just when an operator is available to look at the line. Because the information is automatically quantified, it can be fed directly into the process control system to make improvements. Because it's timely and objective, employees can respond more effectively if action needs to be taken.


ProVision gives you:

  • real-time fault detection in products as they head down the line
  • real-time estimation of the quality of your product and automatic adjustment so you'll reach your target
  • real-time characterization of the state of your process
  • advanced warning when a product deviates from the desired result
  • improved process understanding—you'll start seeing things you never saw before
  • information on hard-to-measure but critical quality properties, such as the crunch of a chip or matching two pieces of marble based on their appearance
  • the means to utilize your employees more effectively

We've helped clients with...

  • remote sensing
  • lumber grading
  • NIR chemical imaging of pharmaceutical tablets
  • snack food seasoning level prediction
  • seed disease classification
  • grading steel surface defects
  • characterizing and optimizing visual appearance, e.g. flotation froth
  • real-time characterization of combustion processes

What is machine vision?

Machine vision analyzes images to extract data for controlling a process or activity. If you have a camera taking pictures of a key aspect of your process or documenting your product as it goes down the line, you have machine vision installed at your plant.

For most of the two decades that machine vision has been around, it has used greyscale images to extract simplistic information such as the number, size and location of objects, but the advent of digital photography and colour images has expanded the possibilities for image-derived data.

ProSensus takes the millions of pixels of information contained in crisp, high resolution colour images and, using powerful multivariate models, extracts information that traditional machine vision—even when using colour images—could never access. When that information is fed into your system, you'll discover a level of process control unparalleled in the process engineering world.


Case Study: Chip off the ol' block

Customers expect that the first chip in a bag should taste the same as the last…and today's bag of chips should taste the same as last week's purchase. But consistent seasoning isn't as easy as it sounds. How, in fact, can you measure and adjust the seasoning level on a solid product like chips, on the production line, without interrupting the process?

For a giant in the snack food industry, ProSensus designed multivariate imaging algorithms that estimates—in real time—the seasoning content of a conveyor belt full of chips passing under a camera. Operators view a map showing the variation in seasoning from chip to chip and are alerted by the system when chips are predicted to go out of spec. An automated control mechanism continuously adjusts the seasoning level based on the ProVision system's estimates.

The bottom line result is that seasoning content variation has been reduced by 50 per cent, which means less time and money wasted on off-spec production and an improved, more consistent customer experience.

Read the full case study.


BaleGuard: Advanced Imaging Solution for Quality Monitoring & Control

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 designed sensitive new algorithms for the rubber inspection process and, with our optics partner, installed a 6-camera system. The end result? A system that detects minute defects and foreign matter (even orange ear plugs), triggers product rejection when defects reach a predetermined threshold, and alerts operators to potential upstream issues—all while the line is still running. The system also maintains a defect summary that can be analyzed by engineers on- or offline.

View the complete feature sheet


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