Zhentu - the Photo Fraud Detector Based on Milvus
Jun 20, 2022Yan Shi, Minwei Tang

Summary
This post details the application of Milvus for a photo fraud detection system (Zhentu) by BestPay. It describes the system architecture involving image pre-processing, feature vector extraction using deep learning, normalization, and vector search with Milvus. The deployment section outlines using Milvus cluster on Kubernetes with specific index parameters (IVF_PQ, nlist=2048) and search parameters (IP, nprobe=32) for optimizing performance. Real-world performance metrics are provided, showing sub-second query times for tens of millions of vectors.
More from the AI Data Storage Engine trail
- Milvus Snapshots: Point-in-Time Collection Views Without Copying Data
- Announcing Milvus 3.0: Lake-Native Vector Search and a More Powerful Retrieval Engine
- How to Recover Milvus Data After etcd Corruption Without a Backup
- Open Tag: An Open-Source Claude Tag for Claude Code and Codex
- How Force Merge Compaction Nearly Doubled Milvus Search QPS