Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method

It's well-known that industrial safety is now a top concern. Nowadays, accidents caused by flammable gases occur frequently in our everyday lives. Gas cylinders, which are used for household purposes, wide range of businesses, and vehicles often reported to be on the verge exploding. Explosions have left large number individuals seriously wounded or could also lethal certain cases. This project's goal use HOG features SVM classifier identify pipeline gas leaks keep tabs them. In addition, system utilises an image processing technique fractures. Early detection identification flaws predominant aspect this study. According suggested design, robot capture down pipe, looking any signs leakage Eddy Current method. type recognition has proved superior other traditional methods. The methods with efficiency parameters results were compared tabulated section. future, data course sent through GSM mobile application.