Human Tracking Mechanism for Institutions using RFID and Facial Recognition
Rameez Shaik1, L.V. Patil2
1Rameez Shaik, Department of Information Technology, Shrimati Kashibai Navale College of Engineering, Pune (Maharashtra), India.
2Dr. Lalit V. Patil, Professor, Department of Information Technology, Member BoS-IT & CEO- SPPU STES’s, Shrimati Kashibai Navale College of Engineering, Pune (Maharashtra), India.
Manuscript received on February 01, 2021. | Revised Manuscript received on February 18, 2021. | Manuscript published on February 28, 2021. | PP: 129-133 | Volume-10 Issue-4, February 2021 | Retrieval Number: 100.1/ijitee.D85270210421| DOI: 10.35940/ijitee.D8527.0210421
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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: The Adoption of digital content by the institutional members & students have seen rapid growth in recent years. The students could access the content across various devices, platform & applications, which has a direct implication on the physical presence of the student. The institutions follow old & very traditional base approach like a manual record of attendance to track the company of students which consumes a lot of time & efforts from the staff members. The study looks at the various technologies available in the market & present the implementation of the best possible solution. The latest use of technology of Facial Recognition with a combination of RFID will enhance the tracking process & also provide valuable insight into student behaviour. The data collected by the system can further utilize to improve the efficiency & effectiveness of student behaviour patterns & predict the learning trend, which will help the institutions to make the correct decisions.
Keywords: Tracking system, Big Data Analytics, Bio-metric, Face Recognition, Bluetooth, Iris, Android Application.