Automated Classification system for square washer with fixed size using SVM Classifiers

The main problem in the Automobile industry is quality classification of square washer with human is difficult and also the experts need more training. Due to human error the dimensions of square washer are not correctly identify and practically that will affect the overall performance of the system produced, that reduces the overall efficiency. This problem can be rectified using automated system for the purpose to separate defected washer. Today there are various automated systems with different algorithms have been developed for fault detection. In this paper a method is proposed to separate the improper square washer in dimensions of length of fixed size using image processing approach. In proposed algorithm the images are taken and can be used SVM classifier which can be implemented for automated system. Square Washer quality is controlled through the dimensions such as length of the sides and diameter of the hole. The results obtained through this method are more accurate and proper defect detection can be done.