R&D, prototyping, and experimentation monorepo for FIVUCSAS — research code, not production.
This repository collects the standalone prototypes, learning projects, and exploratory spikes that fed into the FIVUCSAS biometric identity platform: face recognition pipelines, liveness / anti-spoofing experiments, gesture and challenge research, and native NFC document readers. Each subproject is self-contained with its own dependencies and documentation. Code that graduated to production has since been extracted into dedicated repositories (see the links below); what remains here is the historical R&D record.
| Directory | Purpose |
|---|---|
biometric-demo-optimized/ |
Biometric demo app built on a clean Hexagonal Architecture — MediaPipe face detection, 468-point landmarks, two-phase enrollment, and a 14-challenge biometric puzzle. |
DeepFacePractice1/ |
Learning-oriented DeepFace project for face verification, attribute analysis, recognition search, and embeddings, organized with a clean domain/architecture layout. |
GestureAnalysis/ |
Gesture, finger-touch, and motion experiments — active-liveness management, hand tracking, and anti-spoof challenge validation. |
liveness-antispoof-research/ |
Archival collection of liveness / anti-spoof R&D branches and running examples. Production algorithms now live in spoof-detector. |
TurkishEidNfcReader/ |
Android (Kotlin + Jetpack Compose) NFC reader for the Turkish National eID card over ISO 7816-4 / IsoDep — PIN auth, DG1/DG2 reading, SOD validation. |
UniversalNfcReader/ |
Modular Android NFC reader supporting multiple card types (Turkish eID, Istanbulkart, MIFARE Classic/DESFire/Ultralight, ISO 15693, NDEF) via a factory pattern. |
Dated planning, status, and compliance reports are kept under
docs/archive/.
The code here is experimental and may be incomplete. It is intended for research, learning, and reference only. Do not deploy any of it as-is, and do not treat it as a source of production-grade or security-reviewed code.
- Parent product: https://github.com/Rollingcat-Software/FIVUCSAS
- Production anti-spoof library: https://github.com/Rollingcat-Software/spoof-detector
MIT © 2026 FIVUCSAS Contributors