Privacy-first computer vision · Windows
Iffah
A Windows desktop system for local visual filtering, with separate capture, inference, policy, and rendering stages designed around privacy and fail-closed behaviour.
PROJECT OVERVIEW
Iffah is an engineering project focused on real-time local visual filtering. The system separates model evidence from policy decisions so that privacy behaviour does not depend on a model output alone, and it treats uncertain or stale pipeline states as explicit engineering cases.
PROBLEM
Context and problem
Real-time visual filtering is a systems problem as much as a model problem. Capture latency, stale frames, uncertain detections, rendering failures, and privacy boundaries can all affect whether protected content is shown when it should not be.
APPROACH
Engineering approach
Iffah separates capture, inference evidence, deterministic policy, and rendering into distinct layers. The model provides evidence; policy decides what may be shown; and uncertain pipeline states are handled conservatively instead of silently exposing content.
SYSTEM STRUCTURE
How the main parts of the system connect.
A simplified view of the project architecture, showing the main stages and the boundaries between them.
KEY CAPABILITIES