Displacement Measurement

Displacement measurement, the precise determination of an object's movement, is crucial across diverse scientific and engineering fields. Current research focuses on improving accuracy and robustness, particularly in challenging environments, using techniques like computer vision with structured light calibration, neural network-based design automation for microfluidic devices, and augmented reality systems for surgical navigation. These advancements leverage optical flow, artificial neural networks, and feedback control algorithms to address limitations of traditional methods, ultimately enhancing precision and reliability in applications ranging from structural health monitoring to biomedical engineering.