Classifying Components from images

 
This network demonstrates how a neural network can be used to classify component parts.  The parts used are Long Bolts, Short Bolts, Nuts, Circlips and Washers.  The component images are preprocessed to produce three inputs for the neural network.  The three inputs are Area, Perimeter and Roundness.  Each component part has a bool output column. 
 
The PowerPoint presentation slides, NNDemo.ppt file is included with the samples.
 
See the Components.tvq sample.
 
by Department of Mechanical Engineering, Loughborough University

Created with help of DrExplain