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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
No OTPs. No registers. No buddy punching. Just a selfie. ZepIris is Zepto's purpose-built face authentication platform - engineered for scale, tuned for budget phones.
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| 2026-07-24 | 348 |
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| 2026-08-06 | 348 |
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# ZepIris [](https://www.python.org/) [](https://fastapi.tiangolo.com/) [](https://python-poetry.org/) [](LICENSE) ## 👁️ ZepIris — Scalable Face Authentication **No OTPs. No registers. No buddy punching. Just a selfie.** ZepIris is Zepto's purpose-built face authentication platform — open-sourced for teams running identity verification at operational scale. It handles the full pipeline: face detection, embedding generation, vector search, and spoof/blur/nsfw flagging. Designed to work on budget smartphones, in low light, under high concurrency. If you're running attendance or identity workflows at scale and don't want to stitch together multiple vendors, this is it. **Current version:** v1.0.0. URL paths use `/v1/...` for the HTTP API; OpenAPI `info.version` and the Python package follow semver (`pyproject.toml` / `zepiris.version`). --- ## Table of Contents - [Overview](#overview) - [Features](#features) - [Architecture](#architecture) - [Quick Start](#quick-start) - [API Endpoints](#api-endpoints) - [Database Schema](#database-schema) - [Configuration](#configuration) - [Development](#development) - [Testing](#testing) - [Troubleshooting](#troubleshooting) - [Documentation](#documentation) - [License](#license) - [Citation](#citation) - [Acknowledgments](#acknowledgments) - [Support & Community](#support--community) --- ## Overview ZepIris simplifies face recognition and verification workflows by providing: - **Pre-integrated face embeddings** using AuraFace-v1 OR InsightFace's buffalo_l model, both are 512-dimensional representations, based on the flag ML_SERVICE_FACE_MODEL set in .env - **1-to-N face vector search** via Milvus for fast COSINE similarity matching - **Automated content safety checks**: nsfw detection, anti-spoofing, blur detection — all via a dedicated ML inference service - **Multi-tenant support** — per-tenant face enrollment and search with isolated namespaces - **Full CRUD operations** — insert, upsert, delete, and get for face records - **Production-ready microservice architecture** with independent scaling for ML inference - **S3-compatible image storage** via MinIO - **REST API** with OpenAPI/Swagger auto-documentation and `requestId` traceability ### Use Cases - **Attendance Tracking** — Enroll employee faces, query against live camera feeds - **Onboarding Workflows** — Identity verification with liveness detection - **Face-Based Access Control** — 1-to-N face matching with content safety validation - **Quality Assurance** — Automatic detection of low-quality, spoofed, or unsafe images --- ## Features | Capability | Description | | ----------------------------- | ---------------------------------------------------------------------------------------- | | **Face Embedding** | Extract 512-dimensional Normalized embeddings using AuraFace-v1 OR InsightFace's buffalo_l | | **1-to-N Face Search** | Query vectors against Milvus for fast COSINE similarity matching | | **Full CRUD API** | Insert, upsert, delete, and retrieve face records with multi-tenant isolation | | **Content Safety (ML)** | NSFW, spoof/deepfake, and blur detection via dedicated ML inference microservice | | **Multi-Tenant** | Per-tenant face enrollment and search with isolated namespaces | | **Microservice Architecture** | Separate ML inference service (port 8001) scales independently from main API (port 8000) | | **Image Storage** | S3-compatible MinIO integration for persistent image archival | | **REST API
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:512b85812ba51363, topic:vector-search, readme:vector search
matched fp:512b85812ba51363, topic:computer-vision, readme:face recognition