Machine Vision and Deep Learning for Manufacturers What It Is and How to Implement It
This eBook is your free introduction to machine vision and Deep Learning in the manufacturing sector. Find out how 98% accuracy is possible when identifying defects using our data-driven processes.
Grab this eBook and learn
- What Deep Learning is
- How Deep Learning improves machine vision
- Why Deep Learning for machine vision is a true disruptor
- What a sample manufacturing implementation looks like with Spyglass Visual Inspection (SVI)
- How Intel technology powers SVI from the edge to the Cloud
Deep Learning Machine Vision is Disrupting the Manufacturing Sector
This eBook examines machine vision, Deep Learning, and its application to machine vision systems, as well as provides an example of how Intel technology powers such a system in the real world from the edge to the Cloud and back again.
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: