1a1The unfiltered original must never be written
The natural implementation saves the photo, then processes it. That leaves the original on disk, where a gallery scanner or a cloud backup can pick it up before it is replaced.
0The facts
- Role
- Solo: both platforms
- Year
- 2025
- Status
- Shipped
- Category
- AI
- Built with
- Kotlin · Swift · On-device face detection · CameraX · AVFoundation
- Where to find it
- Google PlaySource
1 · Overview
What it is, and why it exists.
A camera app that automatically detects and blurs faces immediately after capture, for people who want to photograph a place or an event without photographing the people in it. Built natively for both Android and iOS.
Photographing a wedding hall, a classroom or a family gathering means capturing faces that should not be captured. Editing them out afterwards means the unblurred original existed, was stored, and possibly synced to a cloud backup before you got to it.
Halal Camera closes that window: detection and blurring happen right after capture, on the device, so the file that reaches storage is already filtered.
1a · Challenges
Each problem got a card. Each fix got filed behind it.
1a1aWhat I did
Processing happens on the in-memory frame before anything is persisted, so the only file that ever exists on disk is the filtered one.
2 · Results
- Published on Google Play, with a native iOS counterpart.
- Blurring applied before the file is written to storage.
Next project
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