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Fact Sheet

Painted, Glossy, and Textured Surfaces - Spyglass Visual Inspection Fact Sheet

Microsoft and Nvidia co-produced this fact sheet on Mariner’s behalf. Get it now — it’s your free introduction to Spyglass Visual Inspection and and Deep Learning in the manufacturing sector. Find out how 98% accuracy is possible when identifying defects using our data-driven processes.

Grab the fact sheet and quickly learn

  • How SVI uses Deep Learning AI
  • What differentiates SVI from other machine vision systems
  • How SVI is disrupting defect detection in paint, glossy, and textured surfaces
  • How SVI is reduces Total Cost of Quality (TCQ) in several ways

Deep Learning Machine Vision is Disrupting the Manufacturing Sector

Machine vision can struggle with defect detection on painted, glossy, or textured surfaces. Spyglass Visual Inspection uses Deep Learning to dramatically improve surface inspection in those situations. Microsoft and Nvidia believe so strongly in SVI that they created this fact sheet for free — and you can download it now and find out how we can help you on the way to lowering your Total Cost of Quality through better defect detection.

Why machine vision?

As an aid in quality control and quality assurance, machine vision has been used for decades in the manufacturing sector for general automation and to spot defective parts or product as it makes its way through the manufacturing process.

The Problem with Machine Vision

Although machine vision used in this capacity has indeed improved quality control, the percentage of falsely rejected or diverted product stemming from machine vision misclassification remains high.

Why Deep Learning is a True Disruptor

Deep Learning – a true disruptor in machine learning / neural network technology – provides the capability for lowering false rejects by moving machine vision analytical processes based on human knowledge to empirical, data-driven processes that function with more accuracy and greater autonomy.

One of our automotive clients has reduced false reject rates...

From 34% to 1.4%, saving $2 million annually


Download the eBook and see how Machine Vision, Deep Learning, and the Spyglass Visual Inspection system make it possible

Machine Vision and Deep Learning: Seeing is Believing

Want a fast, informative primer before you download the white paper? This video will get you on track: