Investigations on digital holographic three dimensional 3D machine vision applications using Artificial Intelligence AI based approaches

Abstract

Digital holography is a cutting-edge technique utilized in the realm of 3-D machine vision, enabling the capture and manipulation of holographic data through digital means. This process seamlessly integrates digital devices, such as cameras and computers, within a real-time framework. The initial step involves recording holographic data onto a digital medium, typically a CCD (charge-coupled device) sensor, and subsequently storing it on a computer. These stored digital holograms are then subjected to computational algorithms, which facilitate the reconstruction of comprehensive threedimensional (3-D) information pertaining to the object under scrutiny. The outcome of this process is a digital holographic complex image, incorporating both the intensity and phase (depth) characteristics of the captured object field. These complex images are versatile and can undergo further refinement using diverse image processing algorithms specifically tailored for 3D information processing tasks. This refined data can be harnessed for a variety of applications, including object recognition, classification, object tracking, and more within the domain of 3-D machine vision. The transition from conventional machine vision to AI-powered machine vision represents a significant leap in capabilities. While traditional machine vision systems rely on predefined rules and feature extraction techniques, AI machine vision leverages the power of deep learning algorithms to automatically learn and adapt from data. This shift empowers systems to handle complex, unstructured environments and tasks, making them more versatile, accurate, and capable of solving real-world challenges with greater efficiency. The application of AI algorithms and techniques to the field of digital holography can further enhance the accuracy and efficiency of a 3D machine vision system. The present research is aimed to investigate the adaptability of digital holographic information using AI-based approaches to develop prudent machine vision applications such as 3D ob