The system works on face recognition where each student in the class is photographed and their details are stored in a server. The teacher can then record the attendance by just clicking some pictures of the classroom. The system will recognize the faces and verify the presence or absence of each student.
Design of an automatic attendance system using face detection . The system requires a video capturing device which continuously detects the face of attendees and mark them as present if present in the database.
- Reducing time wastage duringtraditional class attendance 2. Automatically creates a file containing the name of attendees 3. Preventing the proxy during class attendance 4. Utilizing the latest trend of machine vision
- pycharm for python
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- MYSQL connector Database
- CV2 - OpenCV-Python is a library of Python bindings designed to solve computer vision problems. All the OpenCV array structures are converted to and from Numpy arrays.
- Numpy - NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.
- face_recognition - Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library. Built using dlib‘s state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
