minivision-ai/Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing） observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2283
- days_rel: n/a
- days_push: 1065
- n_releases_24m: 0
Adoption not part of the score
1796 stars · 541 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source silent face anti-spoofing (liveness detection) project by MiniVision, providing model training code, data preprocessing, test scripts, and pre-trained lightweight MiniFASNet models. It detects whether a face in front of a camera is real or a spoof (printed photo, screen replay, mask) without user cooperation, and ships an Android APK demo.
Use cases
- detect fake faces from printed photos or screen replays
- add liveness detection to a face recognition pipeline
- train a face anti-spoofing model with Fourier spectrum supervision
- deploy lightweight liveness detection on Android or embedded devices
- test silent liveness detection without user cooperation
When to avoid
- you need NIR/depth or 3D-structured-light anti-spoofing
- you require production-grade accuracy guarantees (the highest-accuracy model is not open-sourced)
- you need active maintenance and recent updates
Facets
library · maturity maintenance
computer-vision machine-learning deep-learning image-processing sdk computer-vision security deep-learning python cross-platform face-anti-spoofing liveness-detection face-recognition mobileface presentation-attack-detection caffe onnx biometrics android
1 source
- readme: https://github.com/minivision-ai/Silent-Face-Anti-Spoofing · fetched 2026-08-28 · 0282877fb26b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| minivision-ai/Silent-Face-Anti-Spoofing | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="minivision-ai/Silent-Face-Anti-Spoofing")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem