FISTML is a facial recognition system developed using Visual Studio and .NET Framework with EmguCV for face detection and recognition. It detects faces, stores reference images in a SQL database, and identifies individuals based on stored data. The system is designed for integration into applications like security systems and personalized user experiences.

• Alpha-Testing Attendance Checker: Basic Attendance Checker Using MYSQL and DATETIME Scheduler using Timer.

• Multiple Registration: Can Save or Register Multiple Users in one session.
• Face Detection: Detects human faces in images or live video streams.
• Face Recognition: Matches detected faces with stored image paths in a MySQL database.
• Database Storage: Stores paths to reference images per person for matching.
• Image Processing: Utilizes machine learning techniques for high recognition accuracy.
• Real-Time Performance: Efficient real-time face detection and recognition.
• Model Retraining: Automatically retrains the recognition model when new faces are added.
• Simple Anti Spoofing Algorithm: If spoofing detected or liveness test fails, unknown will be detected.

• Install Visual Studio with Desktop development with .NET.

• Download and install the latest .NET Framework from Microsoft's .NET page.

• Install EmguCV via NuGet in Visual Studio:
  1. Go to Tools > NuGet Package Manager > Manage NuGet Packages for Solution.
  2. Search for Emgu.CV.
  3. Click Install.

• Ensure MySQL is installed and running. The application uses SQL to store image paths:
  1. Install MySQL Server from MySQL's official page.
  2. Create a database for the face recognition data (fistmlbeta).
  3. Create a table facerecords with fields for storing names and image paths.

• shape_predictor_68_face_landmarks.dat can be downloaded from https://github.com/italojs/facial-landmarks-recognition/blob/master/shape_predictor_68_face_landmarks.dat
• haarcascade_frontalface_default.xml can be downloaded from https://github.com/kipr/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml