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https://doi.org/10.1007/978-3-...
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Human Tracking Mechanism for Institutions Using RFID and Facial Recognition

Authors: Rameez Shaik; Dr. Lalit V. Patil;

Human Tracking Mechanism for Institutions Using RFID and Facial Recognition

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.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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