Inkjet Printer

Inkjet printing technology is being actively researched to improve its precision, control, and applications beyond traditional document printing. Current research focuses on optimizing droplet formation and deposition for additive manufacturing, including the use of machine learning algorithms like Bayesian optimization and ensemble methods (e.g., AdaBoost, Random Forest) to predict and control print quality. These advancements are enabling new applications in areas such as creating high-resolution electronic components, anti-counterfeiting measures through unique print patterns, and even analyzing historical printing techniques using image recognition and contrastive learning.