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Deploying an Artificial Intelligence-Based Defect Finder for Manufacturing Quality Management
2021
The AI Magazine
This paper describes how the Big Data Research Center of Kyung Hee University and Benple Inc. developed and deployed an artificial intelligence system to automate the quality management process for Frontec, an SME company that manufactures automobile parts. Various constraints, such as response time requirements and the limited computing resources available, needed to be considered in this project. Defect finders using large-scale images are expected to classify weld nuts within 0.2 s with an
doi:10.1609/aimag.v42i2.15094
fatcat:cvzercathvh2fd23ziv666jaki