System And Method For Authentication And Valuation Of Artworks

A system for artwork authentication and valuation, comprising:

• an image processing module configured to pre-process an image of an artwork to enhance quality for analysis;
• a computer vision module configured to analyze the pre-processed image and generate visual embeddings representing features of the artwork, wherein the computer vision module comprises:
• an image input interface configured to receive the pre-processed image from the image processing module,
• a feature extraction unit configured to apply convolutional neural networks (CNNs) to detect low-level and high-level visual features including brushstrokes, textures, shapes, and color distributions,
• a generative analysis unit configured to employ generative adversarial networks (GANs) to distinguish between authentic and forged stylistic elements by generating and comparing synthetic features with features of the artwork,
• a sequential analysis unit configured to employ recurrent neural networks (RNNs) or transformer-based models to identify temporal, stylistic, or contextual sequences across related artworks, and
• an embedding generation unit configured to transform the extracted features into numerical embeddings representing stylistic, structural, and compositional characteristics of the artwork:
• an artificial intelligence engine comprising a multimodal fusion module configured to:
• combine the visual embeddings with contextual data obtained from a metadata library comprising subject matter identifiers curated by one or more subject matter experts and a statistical identifiers database comprising historical sales records, provenance data, and market indicators;
• and
• generate feature representations for authentication and valuation;
• an authentication unit configured to generate, by analyzing the feature representations,
• an authentication output indicative of authenticity of the artwork;
• a valuation probability calculator configured to:
• apply a Bayesian network comprising nodes representing valuation factors and edges representing conditional dependencies among the valuation factors to integrate the feature representations, the authentication output, and contextual market data, and
• generate a valuation probability indicating a probable change in valuation of the artwork;
• and
• a display unit configured to present the authentication output and the valuation probability.