Accurate and timely information is needed for industries to improve their quality and increase the production of goods. Digital image processing is used in many fields mainly for the detection of faulted parts or missing part. Automated visual inspection is the key factor behind all the industrial application of digital image processing. The proposed study mainly deals with analysis to find faulty sheet metal piece and correcting it. Rather than a statistical approach, this proposed idea employs verification of measurements of all the pieces that are coming out of product line. Based on the error rate modification in the design can be pursued. This experimental results show that manual inspection can be replaced with the proposed idea and hence productivity can be increased.