Abstract
Our Paper involves the student attendance and faculty attendance. The student attendance is marked by face recognition. For face detection and face recognition the raspberry pi. If the camera is connected to Raspberry pi USB port then only images will capture of the students who are available in the class for face detection. The captured images recognises with stored images then in that images we will recognize the faces of every student and according to thatattendance will be given to that subject class. This process is carried out for every class and students are given attendance accordingly. Faculty attendance is monitored with this project. A unique RFID card is given to the faculty, when faculty enters the classroom swipes the RFID card attendance will be marked with date and time. ESP8266 is used along with OLED to display the faculty attendance. We can mark the attendance at any time without any human Intervention.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Cited by
4 articles.
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1. Smart Entry System for College Using IoT and RFID;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14
2. Multi-Facial Automated Attendance System using Haar Cascade, LBPH, and OpenCV-Based Face Detection and Recognition;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18
3. Smart Attendance Monitoring Technology for Industry 4.0;Journal of Nanomaterials;2022-06-21
4. A Smart Education Model for Future Learning and Teaching Using IoT;Information and Communication Technology for Intelligent Systems;2020-10-30