Digitalization of Stone Artifacts at the Kayseri Ethnography Museum Using Artificial Intelligence: An Innovative and Comprehensive Model for the Preservation of Cultural Heritage
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Abstract
This study examines the critical and transformative role of Artificial Intelligence (AI) technologies in documenting, preserving, and reinterpreting stone artifacts exhibited at the Kayseri Ethnography Museum. Natural deterioration of stone artifacts hinders the accurate identification of motifs, inscriptions, and shapes, underscoring the urgent need for digital preservation. In response to this challenge, AI methods such as deep learning (CNN), photogrammetry, and clustering programs are integrated. This systematic approach aims to minimize manual documentation errors, accelerate data-driven academic research, and maximize the accessibility of cultural assets virtually. The article argues that AI, by integrating scientific methods into traditional cultural heritage practices, offers an advanced, sustainable digital vision that enhances social and academic accessibility.
Keywords: Artificial Intelligence, Cultural Heritage, Deep Learning, Stone Artifacts, Digitization, Ethnographic Museum.
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