Public Security Facial Recognition

High-Precision Facial Recognition & Surveillance System

Project Overview

Face recognition monitoring solution suitable for public places, supporting high-volume face detection, recognition, and tracking. Equipped with high-concurrency processing capability.

Technical Challenges

Public places are crowded with complex lighting conditions, challenges such as occlusion and angle variations, traditional facial recognition technology cannot meet practical application needs.

Solution

Adopted advanced multi-task learning framework, combined with attention mechanisms and metric learning methods, optimized model recognition performance under different conditions, achieving high-precision, real-time facial recognition.

Key Highlights

Recognition accuracy rate reaches 99.2%

Supports real-time retrieval of 100,000 face library

Detection speed <50ms

Supports occlusions such as masks, sunglasses

Cross-camera trajectory tracking

Technology Stack

AI Framework: TensorFlow, PyTorch

Algorithms: ArcFace, FaceNet, SphereFace

Hardware: NVIDIA GPU, Intel CPU

Database: MySQL, Redis

Video Processing: FFmpeg, GStreamer