Cultural and Creative Product Design and Image Recognition Based on Deep Learning

Area of Science:

• Computer Science
• Artificial Intelligence
• Product Design

Background:

• Advanced intelligence technologies, particularly deep learning (DL), are increasingly utilized across diverse fields.
• Cultural and creative products, inspired by cultural aspects, have seen a rise in popularity and market presence.
• Deep learning (DL) is a machine learning technique enabling computers to learn from examples, mimicking human behavior.

Purpose of the Study:

• To research the application of deep learning (DL) for image recognition in the design of cultural and creative products.
• To develop and evaluate a novel system integrating DL-based image recognition for cultural product design.

Main Methods:

• The proposed system employs image recognition, a computer system's ability to identify objects in images, integrating machine vision technology.
• Deep learning (DL) algorithms are utilized for image recognition within the cultural product design process.
• Randomized algorithms are incorporated into the deep learning image recognition system.

Main Results:

• The developed system demonstrates enhanced accuracy in cultural and creative product design through deep learning-based image recognition.
• The system's performance was benchmarked against established algorithms such as Linear Discriminant Analysis (LDA), Hidden Markov Models (HMM), and other optimization algorithms.
• The deep learning approach yielded superior results compared to existing methods.

Conclusions:

• Deep learning (DL) combined with image recognition provides a powerful tool for the innovative design of cultural and creative products.
• The proposed system offers a more accurate and efficient solution for cultural product design, outperforming traditional algorithms.
• This research highlights the potential of artificial intelligence in enhancing creativity and design processes within the cultural sector.