There is an urgent need to use laser cleaning for a complicated textile because it is an effective technique for metal artifacts. It offers a high degree of control, especially in cleaning fragile and very detailed artifacts (Abdel-Kareem & Al-Saad, 2007). The inherent unique properties of laser light, such as intensity, monochromaticity, directionality, and coherence, have made lasers effective tools in a variety of applications in the industrial and biomedical fields. Furthermore, a good understanding of the phenomena happening at the interaction of laser radiation with materials is fundamental for the success and optimization of any laser-based application. Therefore, laser cleaning depends on the nature of the material to be removed (Fotakis, Anglos, Zafiropulos, Georgiou, & Tornari, 2007). The study adopted Q-switched Nd:YAG laser, which is the most common type in conservation. It employed investigation and analysis devices, such as SEM-EDX, XRF, and XRD.

Samples of metal threads were prepared, underwent artificial aging, and cleaned using laser applications to define the efficiency of cleaning that gives the best results without affecting the components of the thread, including metal, fibers, or dyes. The present study aimed to investigate and evaluate laser cleaning of the corroded metal embroidery, revealing the chemical composition of the corrosion and prop and evaluating the effects of laser cleaning on the surface of the metal threads. It utilized SEM and LM to provide morphological information about the surface and the cleaning effect. Moreover, SEM-EDX was used to define the elemental composition, and XRD was employed to offer information on the metal. The restoration of cultural heritage depends on defining the devastating changes to the man-made pieces. It compares pre-and post-restoration conditions of the object (e.g. painting, photography, and material analysis), controlling the conditions that are almost irrevocable. An Interval Digital Macro-photography is employed to control the corrosion PS tests for a long period of museum exhibition [1].

Artificial intelligence (AI) technologies provide remarkable opportunities for museums to learn more about their visitors, play with their collection data, and together influence how people experience a museum. Artificial intelligence and the potential impact of these technologies in enhancing the user experience have gained an increasingly important presence at the past few Computer Museum Networks conferences. This article will reflect the emergence of artificial intelligence in museums and its role in museum operations as these tools become widely used. As a result of these implications, this article will look at the practical implications of artificial intelligence and how museums can become informed consumers of these emerging technologies.