Abstract: An artificial intelligence (AI)-based defect diagnosis system for automatic identification of one or more defect drivers in a manufacturing environment is presented. The diagnosis system includes an input data module, an input specifications module, a product selection module, a product grouping module, a defect driver identification module, and an output module. A related method is also presented.

Abstract: A defect profiling and tracking system for a process-manufacturing enterprise is provided. The system includes a memory and a processor. The processor is configured to access entity data for a plurality of entities of the process-manufacturing enterprise and process parameter data for one or more deviating entities. The processor is configured to analyze the entity data and the process parameter data for each of the deviating entities to determine a plurality of relationships between quality defects and the process parameters to generate a unique entity specific process signature (EPS) for each entity. The processor is configured to receive real-time process parameter data for one or more entities to generate a real-time process signature for the one or more entities and compare the real-time process signature of each entity with EPS corresponding to the entity to detect one or more EPS matches that are indicative of a quality defect.

Abstract: The method compares a first document 10 and a second document 20. The documents may be scanned in 110,112 or an electronic image formed in other ways 114,116. Each electronic image is then segmented into basic units 14,24 such as words, lines or paragraphs. Differences between the matched basic units 14, 24 are determined and a document 30 representing the differences is created 130 and output 132.

Abstract: The method compares a first document 10 and a second document 20. The documents may be scanned in 110,112 or an electronic image formed in other ways 114,116. Each electronic image is then segmented into basic units 14,24 such as words, lines or paragraphs. Differences between the matched basic units 14, 24 are determined and a document 30 representing the differences is created 130 and output 132.