Proving photos are real, the moment they are taken. Fighting fakes with math, not guessing.
One was filmed by a real camera. The other was made by AI. Hit reveal to find out which is which.
AI can now create images that look completely real. Tools that try to catch fakes are always one step behind.
Instead of checking if a photo is fake later, we sign it the moment it is taken.
Three layers: the camera, the server, and the public record. Data flows in one direction only.
A real photo from our camera. Low quality on purpose. The goal is proof, not pretty pictures.
Five clear steps. No AI involved. Just standard math that anyone can check.
Simple stack. Standard security. Public record.
Every part of the system has its own protection. If something goes wrong, the system shows it.
The secret key never leaves the secure chip.
If someone opens the device, the key is erased.
Each photo gets a number. You cannot use the same proof twice.
Once saved to the public record, nobody can edit it.
| Property | Traditional | PleasEye |
|---|---|---|
| Proves where the photo came from | ||
| Protected by hardware | ||
| Record cannot be changed | ||
| Works without AI | ||
| Hard to break into |
One technology, many places where trust is important.
Check that news photos are real and not edited.
Prove a photo was not changed, from camera to courtroom.
Show a "verified real" badge on social posts.
Make sure medical and research images are real.
Every post has proof that it came from a real camera. No more guessing. Trust is the default.
Software Engineering students at Çankaya University, building a graduation project on the future of digital trust.
Software Engineering Department
SENG 491-492, 2025-2026