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dc.contributor.author Faisal, Fahim
dc.contributor.author Hossain, Syed Akhter
dc.contributor.author Sattar, Abdus
dc.date.accessioned 2022-04-09T08:24:26Z
dc.date.available 2022-04-09T08:24:26Z
dc.date.issued 2021-05-26
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7800
dc.description.abstract Internet of Things (IoT) is shaping our lives by changing the way the information are collected and processed. On the other hand, biometrics is rapidly gaining popularity in the field of automatic person identification. Combining these two technologies, this research work aims to create a smart attendance management system which automates the process of attendance recording in institutions of higher learning, thus, saving both effort and valuable time of educators. This paper discusses about ONGULANKO, which is a prototype of such a system. Attendance of a particular student is automatically uploaded to a remote webserver as soon as he/she places his/her fingertip on top of the device. Attendance, class/course and student records are all stored in the remote server's database. From the website of the system, these records can be viewed, modified, deleted and downloaded as a CSV file as per the user's need. en_US
dc.language.iso en_US en_US
dc.publisher 5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE en_US
dc.subject IOT en_US
dc.subject Biometrics en_US
dc.subject Fingerprint en_US
dc.subject Feature extraction en_US
dc.subject Enrollment en_US
dc.subject Matching en_US
dc.subject Fingerprint sensor en_US
dc.subject Microcontroller en_US
dc.title Ongulanko en_US
dc.title.alternative an IOT Based Biometric Attendance Logger en_US
dc.type Article en_US


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