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Gaze | Facial authentication for Linux (sudo, lock screen, GDM), on-device

↗ Quelle (reddit.com)
🗣️ Stimme:

We built Gaze (v0.2.1), a facial authentication system for Linux. It hooks into PAM, so it works for sudo, the lock screen, and GDM login. Everything runs on-device. No cloud, no account.

It's been a slow build. v0.1.0 took about 3 months, and v0.2.0 landed roughly a month and a half after that. We'd rather get things right than ship fast.

What it does:

  • PAM integration for sudo, polkit, and any PAM-aware auth stack
  • Liveness anti-spoofing on by default. A local MiniFASNet-V2 model checks the face crop after a match on the RGB path, and eye-motion analysis handles the IR path.
  • Infrared camera support for Windows Hello-style IR cameras, including driving the IR emitter. You can enroll RGB and IR templates and combine them with hybrid policies: require both, either one, or fall back to IR when it's too dark.
  • GNOME Shell extension for the lock screen, plus optional face unlock at GDM login
  • Works with Hyprland (hyprlock), KDE Plasma, and LXQt alongside GNOME
  • A libadwaita desktop app for enrolling, testing, and health checks
  • DBus API (com.gundulabs.Gaze) if you want to build on top of it
  • Multiple face profiles per user, so you can enroll a default, one with glasses, whatever varies
  • gaze refine-face to sharpen recognition in dim light or at odd angles
  • Security levels from low to maximum that swap the detector/recognizer models and match threshold, plus a custom level if you want to tune it yourself
  • Optional TPM 2.0 template encryption that seals your face templates to the machine, so a stolen disk can't read them
  • Multi-user support (gaze add-face work -u alice)
  • gaze doctor for a quick health check, gaze uninstall for a clean removal
  • Models download on first run and stay local under /var/cache/gaze

One-line install (Debian/Ubuntu/Fedora/Arch):

sh curl -fsSL https://gaze.gundulabs.com/install.sh | sh

One honest caveat: face recognition isn't perfect, so false accepts and rejects happen. Liveness and an IR camera raise the bar, but keep a password as a fallback and don't rely on Gaze as your only factor.

Repo:

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