Paper Title
Foreign Fiber Detection in Cotton using HIS Approach for Industrial Automation

Abstract
This presentation offers a new method for using templates that match the templates of Convolution Neural Network. The CNNs are running simultaneously to train template images. All Information about image template is send to neural network that has been convoluted the image with saved template in very fast manner. It is accuracy while scanning a image and convolute the pixel with pure image pixel and find the exact difference in between them. The test picture is a cotton production image containing the foreign image and find out the impurities in running a production line of cotton with high accuracy Index terms- Foreign Fiber, Recognition Image Pixels, Color space, Template Matching Process, Convolution Neural Network.