An Improved Quality Inspection of Engine Bearings Using Machine Vision Systems

Abstract

The growth of an industry is mostly based on the quality of the product. When there is a fault in the manufactured product in a batch, the entire batch is rejected because of a single faulty product. Quality has become one of the important factors deciding the growth of the industry. Industries nowadays are being automated in every phase of the manufacturing process. Here, an automated system is developed for the inspection of the product developed for the automobile industry. The bearing is one of the parts that play a major role in the connections with the engine and the shafts. Therefore, the bearing has to be perfect, as faulty bearings will lead to greater damage regardless of others. In the automated system, the bearing is inspected for the missing operations in the product. The faulty product is rejected and would be checked for rework or to be scraped. The inspected products are then being sent for the packing process. Through the automated inspection system, the production rate of the product can be increased, also increasing the reputation of the industry. The objective of the present work is to develop a machine vision system for quality inspection of bearing efficiency. The LabVIEW-based approach is carried out for the implementation in current research work.