SMART ARCHIVING SYSTEMS FOR PHOTOGRAPHIC COLLECTIONS
DOI:
https://doi.org/10.29121/shodhkosh.v6.i1s.2025.6635Keywords:
Smart Archiving, Photographic Collections, Artificial Intelligence, Metadata Automation, Digital Preservation, Image RecognitionAbstract [English]
The need to digitalize cultural heritage materials at a fast rate has highlighted the urgency to develop smart archiving systems that are specific to photographic collections. Conventional, usually manual and piecemeal, photo preservation methods do not address the requirements of high-volume, high-resolution image repositories. Proposed system uses image recognition, semantic tagging, and deep learning-based classification to automate the procedure of cataloging and retrieving, and minimize human interaction by a large margin, and enhance accuracy. The data integrity and secure access control are guaranteed by cloud-based storage and provenance tracking provided by blockchain. Also, adaptive compression and restoration mechanisms are used to preserve the quality of images and maximize storage capacity. The research shows the effectiveness of the system to enhance the search ability, decrease redundancy, and facilitate the digital preservation standards, including OAIS and Dublin Core, through case studies of museum and archival institutions. The results emphasize the way that the smart archiving systems can transform the methods of dealing with the collections of photographs making the passive storage turn into the active, intelligent archive. This is ultimately a sustainable way of preservation and will make sure the visual heritage is not lost to generations of researchers and curators in the future and to the general audience.
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Copyright (c) 2025 Dr. S Gowri, Dr. Malcolm Homavazir, Eeshita Goyal, Tandon, Nipun Setia, Mohit Gupta
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