A system comprising: an encoder on at least one roller of a plurality of rollers (22, 24) in contact with a web during manufacturing that outputs a position signal indicative of a down-web distance of the web; an imaging device that images a sequential portion of the web to provide digital information; an analysis computer that processes the digital information with an initial algorithm to identify regions on the web containing anomalies, wherein the analysis computer processes the digital information to determine the positions of the anomalies on the web based on the position signal and identifies a set of the anomalies as repeated anomalies and the remaining anomalies as random anomalies; and a conversion control system that analyzes the digital information for the repeated anomalies with a first defect detection algorithm configured to apply a first set of one or more defect detection recipes to the repeated anomalies to determine which of the repeated anomalies represent actual defects for a product and analyzes the digital information for the random anomalies with a second, different defect detection algorithm configured to apply a second set of one or more defect detection recipes to the random anomalies to determine which of the random anomalies represent actual defects for the product, wherein the first set of one or more defect detection recipes is more sensitive to the repeated anomalies than the second set of one or more defect detection recipes which is sensitive to the random anomalies, wherein the anomaly representing an actual defect meets defect criteria for undesirable occurrence for a customized product requirement. an encoder on at least one roller of a plurality of rollers (22, 24) in contact with a web during manufacturing that outputs a position signal indicative of a down-web distance of the web; an imaging device that images a sequential portion of the web to provide digital information; an analysis computer that processes the digital information with an initial algorithm to identify regions on the web containing anomalies, wherein the analysis computer processes the digital information to determine the positions of the anomalies on the web based on the position signal and identifies a set of the anomalies as repeated anomalies and the remaining anomalies as random anomalies; and a conversion control system that analyzes the digital information for the repeated anomalies with a first defect detection algorithm configured to apply a first set of one or more defect detection recipes to the repeated anomalies to determine which of the repeated anomalies represent actual defects for a product and analyzes the digital information for the random anomalies with a second, different defect detection algorithm configured to apply a second set of one or more defect detection recipes to the random anomalies to determine which of the random anomalies represent actual defects for the product, wherein the first set of one or more defect detection recipes is more sensitive to the repeated anomalies than the second set of one or more defect detection recipes which is sensitive to the random anomalies, wherein the anomaly representing an actual defect meets defect criteria for undesirable occurrence for a customized product requirement.