Advanced 4S image correlation for real-time quality inspection of ceramic products using ultrasonic ToFD images

Quality assurance is the systematic monitoring and evaluation of the various aspects of a product to maximize the probability that minimum standards of quality are being attained by the production process. Deviations from the normal quality that impair the operating characteristics of a metal or product and lead to a reduction in grade or to rejection of products should be considered as defects. To achieve zero defects (“Zero ppm”) output cost-effectively, manufacturers are making the commitment to move to online, automated Non Destructive Testing (NDT) methods. One of the major difficulties with real-time image acquisition is redundancy due to continuous scanning of scenes. The proposed NDT method is a interface predictive coding & is one of the most powerful image coding techniques that can control the redundancy and blur and can identify microscopic casting defects and cracks automatically, which may be even internal fault in nature and measure them by intelligent object detection and feature extraction tools. The paper introduces the Four Step Search matching based automated visual quality inspection and NDT employed using intelligent object detection which have many advantages over existing methods and feature extraction in ultrasonic ToFD scan images as a tool in the automated visual inspection and NDT.