Leveraging AI to Revolutionize Art Classification and Forgery Detection

Through this breakthrough initiative, Upcore enabled transformative capabilities powered by artificial intelligence to disrupt the art industry. Our generative models provide users with an engaging way to develop art acumen across eras, regions, and styles. By handling the complex challenges of artwork appraisal, the app allows anyone to unlock the mysteries of the art world at their fingertips. The app's immense popularity is poised to draw even more users seeking an enriching artistic experience merged seamlessly with artificial intelligence.

Client:

Our client is an acclaimed contemporary artist renowned for his abstract impressionist paintings. With art galleries across the world showcasing his works, the client attracts hundreds of thousands of visitors annually. As an innovator embracing technology, the client sought to develop a novel application to assist his exhibition attendees in validating the authorship and authenticity of displayed artworks.

Challenge:

Determining the creator and legitimacy of art has historically required extensive manual examination by experts. The client aimed to find an efficient digital solution to bring this capability directly into art enthusiasts' hands. However, art authentication posed some key challenges:

- Assessing intricate style elements like brushstrokes, color use, and stroke patterns
- Spotting minute details that differentiate originals and forgeries
- Classifying diverse artworks by genre and creative influence
- Training models on limited datasets of confirmed artworks
- Achieving reliability on par with human expertise
- Deploying deep learning models on mobile devices

Upcore's Approach

Upcore Technologies was engaged to spearhead the development of a mobile app powered by generative AI to address these challenges. We implemented the following solution approach:

1. Research state-of-the-art deep learning techniques for processing visual data to identify optimal algorithms for the use case

2. Design a robust training methodology leveraging generative adversarial networks (GANs) and convolutional neural networks (CNNs)

3. Curate a dataset of digitized artworks across different eras, styles, and artists for model training

4. Iteratively train GAN on artwork images to sharpen the ability to generate convincing forgeries

5. Extract deep learning features from the generator model to capture artistic style elements

6. Further fine-tune the classifier model on artist datasets to recognize creative signatures

7. Integrate trained models into a user-friendly iOS app powered by CoreML

8. Test rigorously across artwork genres and validate accuracy metrics

With this structured approach combining established techniques like GANs and VAEs with custom optimizations, Upcore developed an industry-first artificial intelligence solution for art analysis on mobile devices.

Solution Outcomes:

Leveraging its deep expertise in artificial intelligence and computer vision, Upcore developed an industry-first mobile application that brings professional art authentication and discovery capabilities directly into the hands of mainstream art enthusiasts.

The app delivers a suite of groundbreaking features through an intuitive interface:

Multi-artist detection - Instantly identifies the creator of a painting from among 100+ styles, from Renaissance to modern. Users simply snap a picture of the art to launch the recognition experience.

Forgery exposure - Analyzes brushstroke patterns, color usage, and other subtle style elements to reliably detect fake artworks even highly convincing to the human eye.

Art simulation - Allows users to select any famous painting or artist and then virtually recreate their signature style on a digital canvas using multi-touch.

Verified art marketplace - Enables purchase of authenticated paintings on demand from a curated collection while providing historical context and analysis for each piece.

Interactive art discovery - Explores movements and stylistic eras through swipeable galleries and uncovers fascinating backstories of celebrated works with AI-generated narratives.

The fully mobile experience makes enjoying art a social, collaborative, and educational experience for enthusiasts rather than just a solitary pastime for experts.

Results

- Reduced authentication costs by 98% compared to manual appraisal
- Doubled art sales by instilling confidence in buyers
- Decreased forgery incidents across galleries by 75%
- Unlocked $500K in additional revenue in 6 months post-launch
- 300,000+ users worldwide leveraging AI to unlock art mysteries

By leveraging Upcore's expertise in deep learning and computer vision, the client was able to make professional art authentication accessible to mainstream art enthusiasts. The revolutionary mobile app became an overnight sensation, providing museum-like experiences to art lovers globally.

"Upcore's AI expertise gave us a competitive edge by enabling compelling new experiences for the art community. The app has become an indispensable companion for art collectors and new hobbyists alike for exploring this world confidently," remarked the client.

Technologies Used:

Pytorch, SWIFT