Bearings are central parts of nearly all machines in automotive industry and manufacturing machines. It is very important to achive outstanding manufacturing quality and to reduce harmful factors that influence the products and the process themselves. Bearing defects are a major reason for poor quality and of embarrassment for manufacturers. Inspection processes done on these industries are mostly manual and time consuming. To reduce error on identifying bearing defects requires more automotive and accurate inspection process.All steel industries aim to produce various competitive steel products. The competition enhancement depends mainly on productivity and quality of the steel produced by each industry. In this sector, there have been an enlarge amount of losses due to defective products. Most defects arising in the production process are still detected by human inspection. The work of inspectors is very tedious and time consuming. The identification rate is about 70%.In addition, the effectiveness of visual inspection decreases quickly with fatigue.