International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Fingerprint Based Attendance System by IOT Sahil Kamble1, Rahul Chouhan2, Karan Memane3, Vinayak Ingale4, Prof. Nazish Fatima5. 1,2,3,4Students,
Department of Electronics & Telecommunication, Keystone School of Engineering, Pune Professor, Department of Electronics & Telecommunication, Keystone School of Engineering, Pune ---------------------------------------------------------------------***--------------------------------------------------------------------5Assistant
Abstract - Identification and Authorization of a person is
The built-in Wi-Fi module present in ESP8266 is used for creating a connection so that the end-user can make a connection with the device. Under this type of process & working conditions, the device is now efficient of validating a person by his fingerprint & uploading the respective data with time in time out to respective, webserver Now below a brief literature survey narrates the recent studies and implementation of this similar concept.
determined using his personal metrics. For this specified work various types of authentication systems are used in the market, to point out the identity of a human being. Therefore, biometrics or biometric authentication serves as a type of gadget that employs the measurement of fingerprint biometrics of a human body, transforming the security industry. Manually attendance procedure usually takes lot of time and also consumes more energy & effort for validating the attendance data because a large amount of attendance data will be generated. Therefore, in this paper, a system is proposed to reduce these problems & level of it & produce effectiveness of processing student’s data using a system with the help of a concept & methods of IOT i.e (Internet of Things) with the fingerprint (biometric) method. Here the student's data are uploaded safely onto the cloud server & can also be easily collected as per need. This research paper draws a picture of how a simpler, easier system can be made to use student attendance system using Internet of Things (IoT) Technologies. Key Words: Biometric, Authorization, Authentication.
Efficient,
1.1 Objective The main motive of this model is to avoid fake attendance, thus increasing the authenticity of attendance data records, to reduce the process of manually taking and maintaining the attendance records becomes highly cumbersome. A system that track records of the attendance making use of biometric scanners and feeds them securely over cloud. This Biometric attendance system is based on fingerprint and wireless techniques which decodes the issue of proxy attendance and the inconvenience of handling the manual data of each student.
Integrate,
1.2 Problem Statement
1. INTRODUCTION
This system prevents from false attendance, much of our time will be saved & therefore honestly of student attendance data is also optimized. Spoof is another problem with the old system. There are several the students who make fake signs or responds where in some cases where the students are not present and this method won’t make the attendance of students reliable.
Basic attendance method which is followed in our school system, where the teacher calls our Roll No or name of the student & marks his/her attendance respectively. This usually consumes a lot time & energy. This method becomes more hectic when there are large number of students are present in a class Managing this all type of data is very hectic and restless thing, One more extra disadvantage is that there is also a chance of marking a fake or proxy attendance of students Hence this study/model presents a system that can record the fingerprint of students & use them wisely to check their attendance for lectures and other types of activities. Also Biometrics assures the physical presence unlike RFID card or password security systems which are precarious. The design of this system proposed in this paper is a collaboration of NodeMCU ESP8266 (microcontroller), R307 Fingerprint Sensor module, and an online Google sheets display. This system requires a connection to a website that can be gained through Wi-Fi. This R305 fingerprint sensor is capable of clarifying the finger images within seconds and also provides the storage capacity of 127 fingerprints.
1.3 Literature Survey For research by Dhanalakshmi et al. [6] IT Offers research using fingerprint and Wi-Fi module. Biometric attendance system is designed and implemented for effective real-time monitoring and Transparency in managing the physical presence. Wi-Fi- Wireless Fingerprint Terminal (WFT). this is the system who is appropriate when implemented in educational institutions. Everyone has a unique fingerprint pattern and is used to find the record of a particular individuals. Student attendance tracking is verified by Institute. There are two ways to authenticate fingerprints taken in the verification process. In first method the organization Creates
Here each student will be assigned to a distinct ID number which is activated during the fingerprint enrollment process.
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