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The Era of Neural Networks: How AI Has Revolutionized Projection Design and What Comes Next

Reading Time ~5 minutes
July 3rd, 2024
ChatGPT, MidJourney, Stable Diffusion—if you've been keeping an eye on technological advancements, these names are probably familiar to you. Today, neural networks and artificial intelligence are some of the most talked-about topics, constantly making headlines and astonishing us with the scale of technological development with each new announcement.

On May 13, OpenAI introduced GPT-4 Omni, or simply GPT-4o, to the world. Impressed by the presentation, we decided to delve into this innovation and at the same time explain how neural networks have transformed the modern concept of projection design and why this AI tool is now indispensable for every creator's arsenal.

What are neural networks?

An artificial neural network (ANN) is a type of machine learning that mimics the workings of the human brain. The AI program learns from a specific database and adapts its algorithms based on past experience.

Modern neural networks and AI technology have penetrated almost all areas of our lives and are widely used for processing and analyzing large volumes of information, optimizing complex multi-level processes, forecasting trends, and generating content.

How have neural networks impacted projection design?

Projection design (video mapping) is a technology where visual content is projected onto various surfaces, often of unusual shapes, creating optical illusions for the viewer. You've likely seen light shows where building facades crumble into cubes or objects come to life—this is projection design.

The advent and widespread use of artificial intelligence (AI) have opened up practically limitless possibilities for the development of all forms of visual creativity. Will neural networks replace artists and designers? Of course not. But they provide a powerful tool for optimizing complex routine processes and inspiring the creation of entirely new digital art.

Neural Networks vs Designers

Collaboration > Competition.

We have identified five key aspects where AI helps create visual art and takes projection technologies to a new level.

Content Generation

Today, neural networks can generate images, texts, music, and any other content so well that even professionals may not always notice the hand of artificial intelligence in the creation. AI algorithms allow for the creation of truly unique visual images. With them, artists, designers, and animators can easily experiment with new styles and bring original ideas to life.

Adaptation to Surfaces

One of the main challenges in projection design is adapting the projection to complex surface shapes. Neural networks can learn to recognize various geometric shapes and textures, automatically adjusting the content to perfectly match the physical characteristics of the object. This allows designers to create more accurate projections on complex objects.


Using AI makes projection shows interactive. Neural networks can analyze audience reactions and change the visuals based on movements, sounds, or even emotional responses. At large events, concerts, and festivals, artificial intelligence can adapt visual effects in real-time for maximally synchronized and engaging interaction with the audience. For example, changing the colors and shapes of projections to the rhythm of the music or the mood of the performer. This creates a unique, personalized experience for each viewer.

Content Creation Automation

AI can automate the creation of visual effects, reducing the time and effort required to prepare a projection show. Neural networks generate unique visual elements and animations by learning from predefined styles or examples of other works.

Trend Prediction

Machine learning is actively used to analyze current trends in design and media and helps predict which styles or themes will be popular in the future. Motion designers can stay ahead of the curve by integrating relevant trends into their work.

Artificial Intelligence in Mapping Software

The integration of neural networks in projection design not only simplifies the creation and adaptation of projections from a technical standpoint but also opens doors to entirely new forms of digital art.

We are already working on adding an AI tool to our POGUMAX Designer software, which will help generate unique images and animations on user request right within the program, making the software experience even more accessible and impressive.

We strive to keep up with the times and invite you to join us. If you have any questions about AI in projection design, do not hesitate to contact us for a consultation.
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