sface

Open-source face unlock for macOS — look at your Mac and it types your saved password at the lock screen. On-device SFace, Face ID style notch animation. Free, private, GPL-3.0.

recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.

MediaPipe Face Detectionで検出した顔画像にSFaceを用いて顔認証を行うサンプル

Face-identity consistency scoring for ComfyUI (cv2 YuNet+SFace, CPU, zero-VRAM). Inline pass/fail gate + batch contact-sheet curation, optional YOLO detector.

Pre-release likeness-risk screening for AI short-drama character images. Finds public-figure lookalikes with traceable references; human review required.

本地离线人脸识别登录系统：Python + OpenCV (YuNet/SFace) + Flask + SQLite，口令 + 人脸 1:1 验证 + 随机动作挑战反欺骗

TraceMark is an end-to-end face verification pipeline that detects and encodes a face, performs an automated Google Lens reverse-image search through SerpApi, retrieves matching web results, records the discovered data on a local blockchain, and re-verifies its integrity.

Real-time face detection & recognition in C++ with OpenCV (YuNet + SFace), webcam enrollment, and live FPS display.

AI-powered Computer Vision backend for SmartPresence utilizing FastAPI, OpenCV (YuNet/SFace), and PostgreSQL for high-speed face recognition and persistent attendance management.

摄像头隐私屏：本地人脸识别判断主人在否，非主人入镜自动模糊全屏。Windows WPF 桌面工具，画面与特征全部本机处理，数据不出本机。

Lightweight face verification with OpenCV YuNet and SFace for Raspberry Pi edge deployment.

Fast, lightweight face recognition & facial analysis framework for Python (ArcFace, SFace, MobileFaceNet, YuNet)

Offline real-time facial recognition, biometric attention tracking, and TTS voice synthesis.

High-performance Face Recognition REST API using OpenCV (YuNet CNN + SFace) and Flask. Production-ready with biometric quality filters, head pose verification, and secure database concurrency.

AI-Based Intelligent Video Analytics Platform for Border Surveillance Built for Smart India Hackathon 2026 | Problem Statement SIH26187 | Ministry of Home Affairs / SSB

Ultra-fast face matching (OpenCV YuNet + SFace + FAISS).

Computer vision and machine learning based face recognition system using OpenCV, SFace and Flask.

Face verification that anyone can use: enroll once, verify anywhere. Offline, private, robust to clothes, lighting and years. Bundled models, encrypted templates, liveness, CLI, zero-dependency web app.

面向幼儿园与校园活动的 Windows 离线照片分类工具。基于本地人脸识别，将活动照片按学生姓名自动归档，支持参考照管理、批量导入、多人合照分类、人工确认与结果预览。全程本机处理，无需上传照片，保留原始文件。

A local-first Rust face geometry detector for Apple Silicon. The first backend use Apple's Vision framework directly from Rust.