Cloud based intelligent attendance system through video streaming

Mittal, Ashok; Khan, Fatima; Kumar, Praveen; Choudhury, Tanupriya

doi:10.1109/smarttechcon.2017.8358587

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…With regard to the attendance system based on face recognition, the minimum number of templates is five [31] while the maximum value is 1000 [59]. Furthermore, the numbers of templates for other face recognition systems are below sixty templates [57,60,61] with most of them having values in between six and twenty-one [29,33,46,53,[62][63][64][65][66][67][68][69]. Next is the authentication stage that involved matching captured biometric data with those templates in the database.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…Furthermore, a mobile internal database was also implemented whereby the user stored the attendance and course information on the server using mobile phones [100]. Cloud servers hosted over the internet were used to store attendance information which can be accessed remotely and at any time [62,69,116]. Additionally, web servers were used in some attendance systems [29,46].…”

Section: Database Storagementioning

confidence: 99%

“…and face [29,46,62,69,70,116] Fingerprint [35,[42][43][44]82] Fingerprint [32] Iris [76]; fingerprint [43,54] Fingerprint [38,39,48,82] Fingerprint [42,75,88] 19…”

mentioning

confidence: 99%

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Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Hoo

Ibrahim

2019

Journal of Sensors

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The application of biometric recognition in personal authentication enables the growth of this technology to be employed in various domains. The implementation of biometric recognition systems can be based on physical or behavioral characteristics, such as the iris, voice, fingerprint, and face. Currently, the attendance tracking system based on biometric recognition for education sectors is still underutilized, thus providing a good opportunity to carry out interesting research in this area. As evidenced in a typical classroom, educators tend to take the attendance of their students by using conventional methods such as by calling out names or signing off an attendance sheet. Yet, these types of methods are proved to be time consuming and tedious, and sometimes, fraud occurs. As a result, significant progress had been made to mark attendance automatically by making use of biometric recognition. This progress enables a new and more advanced biometric-based attendance system being developed over the past ten years. The setting-up of biometric-based attendance systems requires both software and hardware components. Since the software and hardware sections are too broad to be discussed in one paper, this literature survey only provides an overview of the types of hardware used. Emphasis is then placed on the microcontroller platform, biometric sensor, communication channel, database storage, and other components in order to assist future researchers in designing the hardware part of biometric-based attendance systems.

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