Integration of augmented reality and image processing in plasma dynamic analysis: digital concepts and structural system design

Augmented reality (AR) is a part of environment-enhancing technologies, vastly utilized in the new concepts of computer vision, that has only lately started to apply in different fields of high-resolution as well as ultrafast imaging. With the current technical advances, AR is well-positioned to provide computer-guided assistance for a wide variety of emission imaging applications, such as plasma dynamic detection in visible wavelengths that will be represented in this paper. The main investigations in this work are based on the ultrafast time-resolved visible measurements of colliding laser-produced plasmas (CLPP) experiments, that will be supported with techniques of digital image processing, image analysis, and augmented reality to characterize and track the response and unique behaviour of the colliding plasma as well as stagnation layer features that giving a good indication of the degree of plume interpenetration, for all presented experiments. Concretely, the performance of the CLPP studies is strongly dependent on the choice of the experimental conditions. The work describes the core design and demonstrates the imaging performance and analysis for colliding plasma and stagnation layer which create from homogeneous target material, (i.e., Aluminum ‘Al, Z= 13’, or Silicon (Si, Z =14)). The outcomes and design concepts of AR present in this paper can give the milestone to give remarkable improvements to the field of plasma dynamic understanding, especially with images captured in the nanosecond time scale. Additionally, the study provides a considerable amount of detailed data related to the geometrical analysis of the interaction zone which extends the understanding of the behavior of particular species within colliding laser-produced plasmas.