Digital Attendance Register using Raspberry-Pi
G. Tharun Kumar1, R. Puviarasi2
1G. Tharun Kumar, Department of Electronics and Communication Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
2Dr. R. Puviarasi, Department of Electronics and Communication Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 263-264 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10530886S19/19©BEIESP | DOI: 10.35940/ijeat.F1053.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays marking the attendance of the students is a very important work for every staff in every class. The staff has to mark the attendance by manually by seeing the student faces. After verifying the student’s, they have to cross check and the register will be submitted to the higher officials by manually. It consumes a lot of time for the processing. Currently, the proposed system is useful for colleges to mark the attendance automatically without any manual dependent. Generally, face is the most identified part for every human. Hence, the proposed work is automatic face recognition system by using raspberry pi and Open CV software. This work involves five methods namely, face detection, face preprocessing, face training, face recognition and attendance marking. The attendance will be marked in the IOT page and used an LCD display for the details of that student.
Keywords: Raspberry Pi, Open CV, IoT.
Scope of the Article: Digital Clone or Simulation