AI Based Data Augmentation Process Used to Find the Defect in Injection Molding

Automatic quality examination is now receiving attention as a vital element of the industry 4.o. However, because of the variety of products, challenges associated with creating uniformly high-quality product pictures, and short cycle durations, injection molding technologies have not gotten much attention in this field of study. In this work, we suggested an injection molding defect inspection method for edge intelligence. The data imbalance and scarcity issues faced by small and medium-sized businesses (SMEs) are addressed via data augmentation, implemented the unique technique of the injection process, and evaluated effectiveness of the created AI model. The suggested model’s accuracy was more than 90%, demonstrating the system’s viability for use in the real world.