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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Smart Attendance Management System using IoT</text>
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              <text>Biometrics authentication; IoT; MySQLDB; PiCam; Raspberry Pi</text>
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              <text>Taking student attendance is mandatory in an educational organization, and maintaining those attendance plays a vital role. The conventional way of taking student attendance in any institution is time-consuming and challenging, because in the conventional procedure taking attendance/Roll call is performed manually by calling student names as per their roll numbers and marking 'absent(A)' or 'present(P)' on the attendance/logbook accordingly in every class per day. To improve teaching efficiency/teaching time in classrooms by reducing the time required for Roll call's, we have proposed a biometric student attendance system based on IoT. The proposed system records students' attendance using the facial-based biometric system and stores the attendance details on the server through the internet. In this system, the Raspberry pi camera captures the student face images and compares them with the stored images in the database. If the captured image is comparable with the stored image, then the student's attendance is recorded on the remote server as a present(P) in class; otherwise, attendance is recorded as absent (A). The developed system has been tested for sample classes, and the results proved that the system is simple, cost-effective, and portable for managing students' attendance.   2022 IEEE.</text>
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              <text>Patil M.A.; Parane K.; Sivaprasad D.D.; Poojara S.; Lamani M.R.</text>
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              <text>2022 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICCSEA54677.2022.9936433" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCSEA54677.2022.9936433&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142369430&amp;amp;doi=10.1109%2FICCSEA54677.2022.9936433&amp;amp;partnerID=40&amp;amp;md5=05e8bead475330ef500fc8728f1e3ef4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142369430&amp;amp;doi=10.1109%2fICCSEA54677.2022.9936433&amp;amp;partnerID=40&amp;amp;md5=05e8bead475330ef500fc8728f1e3ef4&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166545834-4</text>
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          <name>Format</name>
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              <text>Online</text>
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              <text>English</text>
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              <text>Patil M.A., Vasavi College of Engineering, Department of It, Hyderabad, Telangana, India; Parane K., Nit Surathkal, Dept. of Cse, Karnataka, India; Sivaprasad D.D., Kampala International University, School of Computing and It, Kampala, Uganda; Poojara S., Institute of Cs, University of Tartu, Tartu, Estonia; Lamani M.R., Christ (Deemed to Be University), Kengeri Campus, Dept. of Cse, Bangalore, Karnataka, India</text>
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