Smart Classroom Roll Caller System with IOT Architecture

Chang, Ching Hisang

doi:10.1109/ibica.2011.94

Cited by 37 publications

(9 citation statements)

References 2 publications

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“…Applications are mostly related to using technologies such as RFID or NFC for locating students and calculating their attendances (Chang, 2011;Shen, Wu, & Lee, 2014). In another application, IoT is used in synergy with crowdsourcing to create a model for smart e-learning environment, where students can provide preferred values of environmental variables that can later be used for creating optimal learning environment (Simic, Stavenovic, & Djuric, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

A comprehensive study of parameters in physical environment that impact students’ focus during lecture using Internet of Things

Uzelac

Gligorić

Krčo

2015

Computers in Human Behavior

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Section: Literature Reviewmentioning

confidence: 99%

A comprehensive study of parameters in physical environment that impact students’ focus during lecture using Internet of Things

Uzelac

Gligorić

Krčo

2015

Computers in Human Behavior

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“…By hovering tags or cellphones upon the RFID reader placed in every classroom, students' appearance in a class would be recorded instantly. Saparkhojayev et al, (2012) and Chang (2011) introduced the method of applying RFID technology into classes. They have utilized RFID readers connected to the Internet and attendance records would be transmitted to a backend server.…”

Section: Literature Reviewmentioning

confidence: 99%

Mobile Based Student Attendance System Using Geo-Fencing With Timing and Face Recognition

Babatunde¹,

Oke²,

Babatunde³

et al. 2022

AIMS Research Publication

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Developing an effective attendance management system has always been a difficult issue for any company, ranging from schools to universities. Smartphones have been used for attendance with technologies such as face recognition, fingerprint-based attendance, and other types. The attendance management system (AMS) and its problems are discussed in this study. The study presents a student attendance system for schools and colleges combining Geo Fencing using the geofencing API from Google Play services and Google location services dependencies along with Firebase and Geofire dependencies and Face Recognition functionality. This is performed by acquiring live location of students and a geo-fence of the class area, the system also performs a face recognition for pre-registered student and attendance is automatically taken when a student has spent over 90% of the time within the set geo-fence (Classroom). This system was developed using Android Studio Integrated Development Environment (IDE) which is being used for the development of native android applications. A questionnaire was however designed and results gotten to further explain how well the functionalities work. The responses derived were subjected to statistical examination using SPSS. Discoveries showed that attendance system was able to improve identification, verification and accuracy of student attendance. Keywords: Attendance, Geo-fence, Face Detection, Global Position System, Barcode, Database

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“…IoT has been applied in face recognition in many applications such as unmanned arial vehicle [16], smart classroom [17], home security system [2,18], smart house [19], smart surveillance and many more applications. The previous implementation of IoT in face recognition are using conventional method such local binary pattern [20], neural network [21,22], support vector machine [23], and k nearest neighbor [24].…”

Section: Iot In Face Recognitionmentioning

confidence: 99%

IoT based facial recognition door access control home security system using raspberry pi

Radzi¹,

Alif²,

Athirah³

et al. 2020

IJPEDS

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The home security system has become vital for every house. Previously, most doors can be open by using traditional ways, such as keys, security cards, password or pattern. However, incidents such as a key loss has led to much worrying cases such as robbery and identity fraud. This has become a significant issue. To overcome this problem, face recognition using deep learning technique was introduced and Internet of Thing (IoT) also been used to perform efficient door access control system. Raspberry Pi is a programmable small computer board and used as the main controller for face recognition, youth system and locking system. The camera is used to capture images of the person in front of the door. IoT system enables the user to control the door access.

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Smart Classroom Roll Caller System with IOT Architecture

Cited by 37 publications

References 2 publications

A comprehensive study of parameters in physical environment that impact students’ focus during lecture using Internet of Things

A comprehensive study of parameters in physical environment that impact students’ focus during lecture using Internet of Things

Mobile Based Student Attendance System Using Geo-Fencing With Timing and Face Recognition

IoT based facial recognition door access control home security system using raspberry pi

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