Defex

Mitutoyo has long been a worldwide leader in precision measuring instruments and solutions. Because we are committed to helping you achieve 100% defect-free products, we used artificial intelligence to develop a simple method for the complex problem of defect detection. Visual defect detection has traditionally been a costly and time-consuming operation. Now, by leveraging the immense power of artificial intelligence and machine learning, AI INSPECT from Mitutoyo allows everyday users to create simple, world-class defect detection solutions for visual inspection. AI INSPECT software uses modern deep-learning convolutional networks to learn the visual differences between normal and defective pixels in any set of correlated images. User imports defects and nominal images into the application to create a project model. User highlights image defects with easy-to-use marking tools. The user is guided through the training setup process requiring no AI knowledge.

The General NCMR search form is used to locate NCMR's meeting user-entered selection criteria. This same search form is used by all of the icons concerning NCMR's, so we will take the time here to look at the search screen. To see this search screen, click on the General NCMR Search icon from the main QCS9000 navigator. Supplier NCMR: These are mostly likely generated during incoming inspection and concern defects in material purchased from an out side vendor. In-Process NCMR: The in-process NCMR is caused by defects found during either the manufacturing process or when the product is transferred between work centers (found by quality control type inspections). Customer Return NCMR: This is when a customer returns a shipped product because of defects or nonconformities found. Other terminologies can be RMA's (for returned material authorizations) or CRM (customer return material).