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All Projects → prathmachowksey → Attendance-System-Face-Recognition

prathmachowksey / Attendance-System-Face-Recognition

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An attendance system based on facial recognition built using OpenCV and Django.

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opencvdjangofacial-recognitiondlibfacial-detection

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Attendance-System-Face-Recognition

This project is a POC web application demonstrating the use of facial recognition for marking attendance built as a part of my PS -1 internship at ViitorCloud Technologies, Ahmedabad. It is a web application that can be used by the company to manage attendance of its employees.

Functionality Supported

  • Admin and Employee Login
  • Admin : Register new employees.
  • Admin : Add employee photos to the training dataset.
  • Admin: Train the model.
  • Admin: View attendance reports of all employees. Attendance can be filtered by date or employee.
  • Employee - View attendance reports of self.

Built Using

  • OpenCV - Open Source Computer Vision and Machine Learning software library
  • Dlib - C++ Library containing Machine Learning Algorithms
  • face_recognition by Adam Geitgey
  • Django- Python framework for web development.

Face Detection

  • Dlib's HOG facial detector.

Facial Landmark Detection

  • Dlib's 68 point shape predictor

Extraction of Facial Embeddings

  • face_recognition by Adam Geitgey

Classification of Unknown Embedding

  • using a Linear SVM (scikit-learn)

The application was tested on data from 25 employees at ViitorCloud Technologies, Ahmedabad.

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