Contactless Approach

Contactless approaches are revolutionizing various fields by enabling data acquisition and analysis without physical contact. Current research focuses on developing sophisticated algorithms, including deep learning models like convolutional neural networks and transformers, and leveraging techniques such as thermal stereography and factor graph-based fusion to achieve accurate and robust measurements in diverse applications. These advancements are improving the accuracy and efficiency of tasks ranging from wave measurement in hydrodynamics to biomechanical analysis in industrial settings and even contactless health monitoring. The resulting improvements in data quality and reduced invasiveness have significant implications for both scientific research and practical applications.