Computer Vision & AI
2.5 months
Face Detection Attendance System
Developed a sophisticated attendance management system using computer vision and facial recognition. The system automates attendance tracking in educational institutions and corporate environments.
Technologies Used
PythonOpenCVTensorFlowFlaskSQLiteNumPyFace RecognitionReact
Key Features
Real-time facial recognition
Automated attendance marking
Anti-spoofing mechanisms
Attendance reports and analytics
Multi-camera support
Integration with existing systems
Challenges
Achieving high accuracy in varying lighting conditions
Preventing spoofing attacks
Processing multiple faces simultaneously
Solutions
Implemented advanced preprocessing and normalization
Added liveness detection and anti-spoofing measures
Optimized algorithms for multi-face detection
