Description

Painted Surface detection system using Deep Learning and openCV

 Here the idea is to make automation of paint defect scanning and detection in the industries where automatic paint process will be done.With the manual inspection we cannot achieve good time management and quality of product. The SIFT features are very use full for identification of objects in the images and to compare two images by examining the features, the system will get trained by both image features which are labelled to differentiate between defective and non-defective images. Once the SVM is trained then we can build a classifier model which will classify or identifies defects on images.  The experimental results are obtained by providing the two defective and two non-defective images to the classifier model, where the output can viewed on Pycharm screen.
I