A0 · 841 × 1189 mm FIVUCSAS poster preview
Bitirme projesi posteri · Marmara Üniversitesi CSE4298
Graduation project poster · Marmara University CSE4298
<FIVUCSAS/>

Face & Identity Verification using Cloud-based SaaS Models

Üretime alınmış, çok kiracılı biyometrik kimlik SaaS'i — tek hosted OAuth 2.0 / OIDC giriş, 10 kompoze edilebilir auth faktörü, 23-yapboz aktif canlılık, 19-analyzer pasif PAD, ICAO 9303 NFC. Bu sayfa posteri görüntülemenizi, 5 formatta indirmenizi ve paylaşmanızı sağlar.

Production-deployed multi-tenant biometric identity SaaS — one hosted OAuth 2.0 / OIDC login, 10 composable auth factors, 23-puzzle active liveness, 19-analyzer passive PAD, ICAO 9303 NFC. This page lets you view the poster, download it in 5 formats, or share it.

YazarlarAuthors Ahmet Abdullah Gültekin · Ayşe Gülsüm Eren · Ayşenur Arıcı DanışmanSupervisor Doç. Dr. Mustafa Ağaoğlu TarihDate 2026-05-19 · v3
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5 formatta indir veya görüntüleDownload or view in 5 formats

view · download · share

Interactive HTML

102 KB · self-contained · responsive

A0 poster as a single HTML file. Inline SVG, IBM Plex fonts via CDN, no JavaScript dependency. Print-ready (Ctrl-P → A0 portrait).

PDF (HTML-rendered)

1.3 MB · A0 print · headless Chrome

v3 HTML posterinden üretilmiş PDF (headless Chrome render). Yazıcıya / plotter'a / baskı atölyesine doğrudan gönderilebilir.

PNG preview

334 KB · ~1.2k × ~1.7k px

v3 HTML poster önizleme görseli — slayt deck'ler, sosyal medya, hızlı görsel önizleme için.

Text brief (Markdown)

37 KB · evidence-pinned · file:line refs

Every poster claim with its source pointer (file:line or doc reference). 10 sections + Numbers Inventory appendix. Useful for thesis defence Q&A.

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Sayfa içi önizleme · HTML versiyonInline preview · HTML version

live · interactive · scrollable
Embedded preview — for full A0 dimensions open in a new tab. ↗ open full-screen
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Posterdeki anahtar bilgilerWhat's on the poster · key facts

all numbers from /POSTER_BRIEF.md · file:line cited
10
composable auth factors
23
biometric puzzle micro-challenges
19
spoof-detector analyzers
~691k
lines of code
~2 768
automated tests
60
database migrations
9
production subdomains
0
GPUs required
63ms
per-frame PAD latency · CPU
217
browser bundle vitest green
0.945
AUC · CASIA-FASD zero-shot
1
Hetzner CX43 (8 vCPU / 16 GB / no GPU)
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Paylaş & alıntılaShare & cite

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Suggested citation
Gültekin, A. A., Eren, A. G., & Arıcı, A. (2026). FIVUCSAS — Face & Identity Verification using Cloud-based SaaS Models. Graduation Project Poster, Marmara University, Department of Computer Engineering. Supervisor: Mustafa Ağaoğlu. https://fivucsas.com/poster/