Real Time Museum Monitoring of Basohli Paintings Using Hybrid AI Techniques

Sheetal Sharma; Rohita Sharma

doi:10.36948/ijfmr.2026.v08i02.73588

Real Time Museum Monitoring of Basohli Paintings Using Hybrid AI Techniques

Author(s)	Sheetal Sharma, Dr. Rohita Sharma
Country	India
Abstract	Basohli painting, one of the first and most influential schools of Pahari miniature painting, in museum, scholarly and community contexts, is important culturally. Its fields of saturated colour, its use of paper supports, its red borders and its raised white ornamentation and occasional metallic or beetle wings embellishment make these works visually distinctive and yet materially vulnerable. In museum practice, preservation still depends largely on periodic manual inspection, which is important but tends to be too rare to detect the degradation of an artifact in its early stages e.g., pigment instability, foxing, edge abrasion, environment induced deformation. This paper proposes a hybrid artificial intelligence architecture for the real time visual monitoring of Basohli paintings in the collections in Indian museums. The framework comprises high resolution RGB imaging, optional multispectral or hyperspectral amount evaluation, environmental sensors amount stream, segmenting a defect of then an abnormal affect, self supervised training of it, explanation say scoring and explanation prepare dashboard for conserve a self of it. It is designed as a non contact, low light, modular and a curator centred systems which can be adapted to institutions with different levels of technical infrastructure functioning from small museums with RGB imaging, microclimate sensing, to spectral imaging and including built in conservation databases systems to more advanced collections. The five distinguishing contributions that the article provides are a Basohli specific deterioration taxonomy; a modular multi mode monitoring pipeline a data acquisition and annotation protocol, as an application at the museums; a model validation blueprint with an anthropocentric system, taking into consideration both the model performance and the waste burden of false alerts; and a layer of governance that corresponds to museum ethics while being trustful AI. Instead of delivering a pre completed many site trial, the paper offers the foundation for a solid methodological and deployment policy for the eventual validation of pilot in museums in India.
Keywords	Basohli painting, preventive conservation, cultural heritage AI, museum monitoring
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-03
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.73588

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Real Time Museum Monitoring of Basohli Paintings Using Hybrid AI Techniques

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