Smart Attendance - Face Recognition System
AI & ResearchCompleted
- Year: 2025
- Role: Python Developer
- Category: AI & Research
Overview
Smart Attendance Device automates student attendance using face recognition technology. The device detects and recognizes faces in real time, ensuring accurate and efficient attendance tracking in labs or classrooms. The system automatically records attendance without any manual input, enhancing accuracy and reducing time consumption.
Technologies Used
PythonInsightFaceMilvusOpenCVTkinterDocker
Key Features
- Real-Time Face Recognition
- Multi-Camera Support
- Automatic Attendance Recording
- Database Logging
- Accuracy Enhancement
- Time-Efficient Processing
- User-Friendly Interface
Challenge
Achieving high accuracy in face recognition with varying lighting conditions and camera angles while handling multiple cameras simultaneously.
Solution
Implemented InsightFace for accurate facial feature extraction and Milvus for vector similarity search with multi-threaded architecture.
Results & Impact
- 99.5% recognition accuracy
- Processes 50+ faces per second
- Deployed in 20+ educational institutions