Hi everyone — I’m the maker of Aegis Optikon. This project started from a simple question: Why Cloudflare uses lava lamps as a randomness source, while they usecameras toregister the blobs of lava, instead of use the image‑sensor noise directly? Image sensors such as CMOS sensors never produce identical frames, even when filming a static scene. That pixel‑level instability felt like a strong physical entropy source, so I built a TRNG around it. Aegis Optikon captures noisy pixels from device cameras, whitens and compresses them, mixes multiple entropy streams, and uses BLAKE3 for extraction. Each entropy packet includes timestamps and hashes for basic verifiability. The goal is to explore whether everyday devices can generate high‑quality randomness without relying on CPU instructions or vendor black boxes. I come from an electromechanical engineering background, not software security, so this build was a mix of curiosity, stubbornness, and a lot of iteration. I leaned on modern tools, learned as I went, and ended up with a working pipeline that I’m continuing to refine. Right now I’m looking for feedback from people who enjoy cryptography, randomness, backend security, or hardware‑based entropy sources. Thoughts on the entropy model, extraction pipeline, scaling limits, or threat assumptions are especially welcome. Thanks for taking a look — I’m excited to hear what you think.

Aegis Optikon

The future basis of all digital security & fair betting

The future basis of all digital security & fair betting