https://github.com/gokhulnath/automatic-attendance-system-using-face-recognition-and-rfid

Automatic Attendance system using Face Recogniton and RFID
https://github.com/gokhulnath/automatic-attendance-system-using-face-recognition-and-rfid

face-recognition python3 rfid rfid-tags

Last synced: 30 days ago
JSON representation

Automatic Attendance system using Face Recogniton and RFID

• Host: GitHub
• URL: https://github.com/gokhulnath/automatic-attendance-system-using-face-recognition-and-rfid
• Owner: Gokhulnath
• Created: 2019-12-05T09:33:45.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-05T15:49:06.000Z (over 4 years ago)
• Last Synced: 2023-03-08T11:40:52.709Z (almost 2 years ago)
• Topics: face-recognition, python3, rfid, rfid-tags
• Language: Python
• Homepage:
• Size: 1.58 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Automatic-attendance-system-using-Face-Recognition-and-RFID

Automatic Attendance system using Face Recogniton and RFID

Attendance in colleges is generally paper based which may sometimes cause errors. Taking attendance manually consumes more time. So, the proposed attendance system uses RFID technology to take attendance. In this system, each student is issued an RFID tag which is used to identify them whenever the reader is switched on, it will take the attendance. This kind of method increases accuracy and time efficient attendance system. Through this method teacher’s work of updating attendance in the database is reduced and providing less time in taking attendance during the class hours.

Each student will be provided with a unique RFID tag with a unique number registered to it. This tag will be attached to their identity card. Every class will be attached with a RFID reader (long range reader). The reader will be turned on automatically for first 10 minutes and the last 10 minutes of the period, so the students entering after 10 minutes will be marked absent and the students who are not present in the last 10 minutes will also be marked absent. Through this way we can ensure the presence of students throughout the period. To ensure the maximum accuracy in the data, there will be a camera fixed to the reader which takes a snap of the class and identifies each faces of the students and cross checks with the RFID attendance. This method is important as students may leave their RFID tags in class which may lead to a positive attention beside their physical absence. By this collection of different data, we can take accurate attendance without any deviations.

Take a look of the detailed explanation of the project in the pdf attached,

[Detailed Explanation](https://github.com/Gokhulnath/Automatic-attendance-system-using-Face-Recognition-and-RFID/blob/master/Detailed%20Report%20of%20the%20project.pdf)

Thank you!!