System and method for authentication and valuation of artworks

1 . A system for artwork authentication and valuation, comprising:

one or more processors, a display unit operably coupled to the one or more processors, and a memory accessible by the processor, the memory storing instructions that when executed by the processor implement:

an image processing module, stored in memory and executed by the processor, configured to pre-process an image of an artwork to enhance quality for analysis;

a computer vision module, stored in memory and executed by the processor, 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, stored in memory and executed by the processor, configured to receive the pre-processed image from the image processing module,

a feature extraction unit, stored in memory and executed by the processor, configured to apply convolutional neural networks (CNNs) to detect low-level and high-level visual features including brushstrokes, textures, shapes, and color distributions,

transformer-based models with self-attention mechanisms to capture dependencies within a single artwork, to analyze relationships between distinct regions of an image,

a generative analysis unit, stored in memory and executed by the processor, 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, stored in memory and executed by the processor, 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, stored in memory and executed by the processor, configured to transform the extracted features from the feature extraction unit, generative analysis unit, and the sequential unit into numerical embeddings representing stylistic, structural, and compositional characteristics of the artwork;

an artificial intelligence engine, stored in memory and executed by the processor, 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, stored in memory and executed by the processor, configured to generate, by analyzing feature representations, compact embeddings optimized for analysis, and self-attention mechanisms to weight relative importance of features, an authentication output indicative of authenticity of the artwork;

a valuation probability calculator, stored in memory and executed by the processor, configured to:

apply a Bayesian network, stored in memory and executed by the processor, 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, stored in memory and executed by the processor, configured to present the authentication output and the valuation probability.

2 . The system of claim 1 , further comprising an inventory module, stored in memory and executed by the processor, configured to receive the image of the artwork from a user equipment and store image-related data in a database, the database storing historical data about artists and their works.

3 . The system of claim 1 , wherein the image processing module performs one or more image enhancement methods including noise reduction, contrast equalization, artifact removal, background removal, or segmentation of features including signatures.

4 . The system of claim 1 , wherein the metadata library further comprises thematic classifications and style period identifiers, and wherein the statistical identifiers database further comprises quantitative attributes including at least artist identification, signature presence, size, provenance, or historical sales of the artwork.

5 . The system of claim 1 , wherein the metadata library and the statistical identifiers database are stored in a centralized repository accessible by the artificial intelligence engine, the centralized repository being updated continuously with new artist information and market data.

6 . The system of claim 1 , wherein the valuation probability calculator further comprises:

an input interface configured to receive the visual embeddings of the artwork, metadata embeddings, and contextual market data from the artificial intelligence engine; a probabilistic modeling unit configured to:

apply the Bayesian network to combine the feature representations with historical data and market indicators to represent conditional dependencies among the valuation factors, and determine the valuation probability indicating a probable change in the valuation of the artwork; and

an anomaly detection unit configured to:

compare the valuation probability with current market prices to identify deviations, and

transmit the valuation probability and explanatory factors influencing the valuation to the display unit.

7 . The system of claim 1 , further comprising a knowledge graph generation logic, stored in memory and executed by the processor, configured to represent artists, artworks, and genres as nodes and similarities or influences as edges, the knowledge graph being provided as an input to the valuation probability calculator.

8 . The system of claim 1 , wherein the artificial intelligence engine further comprises:

a feature integration module, stored in memory and executed by the processor, configured to receive the visual embeddings generated by the computer vision module analyzing the pre-processed image of the artwork, and textual embeddings generated from metadata associated with the artwork;

an output module, stored in memory and executed by the processor, configured to generate explainable AI results; and

a continuous learning logic, stored in memory and executed by the processor, configured to update the artificial intelligence engine using human-in-the-loop (HITL) feedback in which uncertain predictions are annotated by experts and used to train the artificial intelligence engine.

9 . The system of claim 8 , wherein the explainable AI results include a graphical visualization illustrating the relative weight of visual features, metadata, and contextual factors contributing to the valuation probability.

10 . The system of claim 8 , further comprising the human-in-the-loop (HITL) active learning process in which uncertain cases are flagged for expert annotation and used to train the artificial intelligence engine.

11 . The system of claim 8 , wherein the artificial intelligence engine is further configured to:

update one or more predictive models continuously based on at least one of auction data, private sales data, or social sentiment data; and

perform sentiment analysis from social media platforms or news sources relating to an artist or the artwork.

12 . The system of claim 1 , further comprising generating composite indicators per artist, weighted by recurring themes, mediums, or styles in the artist's body of work.

13 . The system of claim 1 , wherein the valuation probability comprises explainable AI results showing contributions of different factors and data sources to the valuation probability.

14 . The system of claim 2 , wherein the user equipment is a mobile computing device configured to execute an application for real-time art authentication and valuation.

15 . The system of claim 1 , wherein the display unit provides a detailed report of the analysis, including the identified features and their relevance to the artwork's valuation.