Enhancing Cultural Heritage Documentation with AI and Computer Vision

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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2026
Pages: 24
Source title: Indigenous Knowledge Management in the Open Science Framework
Source Author(s)/Editor(s): Josiline Chigwada (University of South Africa, South Africa)and Patrick Ngulube (University of South Africa, South Africa)
DOI: 10.4018/979-8-3373-0204-1.ch004

Keywords: Indigenous Studies / Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Digital Tools for Indigenous Knowledge Management is an important project for the conservation of material cultural heritage by leveraging advanced computational techniques. This paper's research is focused on data collection, preprocessing, and analysis from heritage monuments, sculptures, and buildings in Andhra Pradesh. Data preprocessing includes cleaning, normalization, and geospatial validation to render it accurate, followed by feature selection via Ant Colony Optimization (ACO) to determine the most significant features. An improved ResNet model is utilized for classification and analysis of high-resolution images and metadata to enhance heritage documentation. Further, digital application integration such as augmented reality (AR), virtual reality (VR), and geographic information systems (GIS) enables interactive discovery of heritage and sharing of knowledge. The proposed methodology strengthens the bond of cultural heritage conservation with the aid of Indigenous knowledge through innovative digital platforms.

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Enhancing Cultural Heritage Documentation with AI and Computer Vision

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