Our submission for the DDC x Ignition Hacks hackathon.

Projectors have remained largely unchanged for years, leaving significant room for innovation. Our solution introduces an AI-powered correction system designed to enhance projection quality and simplify setup.

By integrating a camera directly into the projector, our system continuously monitors the projected image and compares it to the intended output. Using this data, the AI can detect surface irregularities, depth variations, and distortions caused by uneven walls or objects. It then dynamically adjusts the projection in real time to compensate, resulting in a clearer, more accurate image.

In addition, the AI automatically corrects angles, focus, and blur, dramatically reducing setup time—especially for at-home users. The result is a smarter, more adaptive projector that delivers high-quality visuals on virtually any surface with minimal effort.

Our demo showcases a simplified version of this concept in action. Using a sample wall, we first overlay a grid onto the surface to capture its shape and contours. We then map the intended projection onto this grid, adjusting it to align with the surface’s geometry before displaying the final image. This demonstrates how projections can be pre-corrected to account for irregular surfaces, ensuring a more accurate and visually consistent result.

In order to run the code: You have to create the file with the code and drag it into google. This will open a web browser where the program can then be used.