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.
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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.
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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: