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This a face recognition based attendance developed for the Machines Laboratory of IIT Kharagpur. It uses a Tkinter based GUI and HaarCascade Frontal Face Classifier

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trident-dev/DeepAttend

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DeepAttend:: Face Recognition Attendance System

DeepAttend was developed for the Machines Laboratory of IIT Kharagpur by Devang Upadhyay, a then third-year undergraduate there, under the guidance of Prof. Mrigank Sharad, Prof. Manoj K Mondal and Prof. K. Pathak.

User Interface Flow

Installation

  1. Clone/Download the repository
$ pip install -r requirements.txt
$ python DeepAttend_run.python

Demonstration

Views

Changes made while making open-source

  1. MongoDB connections and links have been completely removed here and databases have been made local
  2. To view things in the Admin-Panel:: username - admin :: password - admin#
  3. UID and other student information is no longer hashed

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change

License

MIT

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This a face recognition based attendance developed for the Machines Laboratory of IIT Kharagpur. It uses a Tkinter based GUI and HaarCascade Frontal Face Classifier

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