Hey r/Programming,

I’ve been working on a project that processes raw iPhone camera data in real time, applying dynamic enhancements like stabilization, UV filtering, and even simulated AC130-style thermal effects. This all runs through a compact, custom-built pipeline using a relational neural network and a 4D programming framework I’ve been experimenting with.

The framework models state changes in video data over time, mapping it into a “4D” structure that includes spatial, temporal, and attribute dimensions. This allows for real-time effects that adapt dynamically as the camera moves or conditions change.

The cool part? It’s running off consumer-grade hardware—a MacBook paired with an iPhone using Continuity Camera as the feed. The framework’s focus is on lightweight, efficient processing that could be adapted for mobile devices or edge computing.

I’m not entirely sure how this compares to how cameras or computers traditionally work, but I think there’s something novel here.

Happy to be told I’m wrong—or that this is just reinventing something better done elsewhere! Either way, I’d love feedback or to hear if this sparks ideas for applications I might not have considered.