Now a days industries require accurate and timely information to improve their quality and increase the production of goods. Thus digital image processing can be used in this area 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 project mainly deals with analysis to find faulty industrial parts and correcting it. Automated visual inspection uses digital camera that captures image which is coming out of product line. The captured image is then fed to computer for further processing. The typical image processing task is to find the faulty piece by comparing the user requirements and manufactured product image. This proposed idea will employ 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 proposed idea increases the speed and accuracy and avoids human errors which are common in quality testing. The proposed project overcomes the weakness in the existing system. Thus manual inspection can be replaced with the proposed idea and hence productivity can be increased.(Abstract)
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