Face Recognition Attendance System with MySQL DB

8000 ~~10000~~

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Product Name: Face Recognition Attendance System
Version: 1.0
Platform: Python 3.x
Hardware Requirements:
- Camera Module (for capturing facial images)
- Raspberry Pi, PC, or similar computing device
- Display Screen (optional)
Software Requirements:
- Python 3.x
- OpenCV library for image processing
- Dlib library for facial recognition
- Numpy library
- MySQL server and MySQL Connector for Python
- Flask (optional, for web interface)
Functional Requirements:
- Real-time face detection and recognition
- Attendance logging in MySQL database
- User-friendly interface for viewing and managing attendance records
- Secure login for administrators
Non-functional Requirements:
- High accuracy in face recognition
- Low latency in processing and logging attendance
- Robustness and reliability in various lighting conditions
- Scalability for large numbers of users

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Key Features:

Real-time Face Detection and Recognition:
- The system continuously captures video frames and detects faces in real-time using a camera module.
- Detected faces are compared against a database of registered users to identify individuals.
Attendance Logging:
- Once a face is recognized, the system logs the attendance information (e.g., name, ID, timestamp) into a MySQL database.
- Duplicate entries for the same session are avoided.
User Registration:
- The system includes a feature for registering new users by capturing their facial images and storing them in the database.
- User information (e.g., name, ID) is also recorded in the MySQL database.
Attendance Management:
- An administrative interface allows for viewing, editing, and managing attendance records.
- The interface can be implemented as a web application using Flask.
Secure Login:
- Administrators can log in securely to access and manage the system.
- User roles and permissions can be defined for different levels of access.