- Open Access
- Authors : Shreehari H S, Vinolya S, Siriguppa Varshitha
- Paper ID : IJERTCONV10IS11024
- Volume & Issue : ICEI – 2022 (Volume 10 – Issue 11)
- Published (First Online): 18-08-2022
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Smart Attendance System based on Biometrics and Location’s Boundary Conditions
Shreehari H S Dept. of ECE , SJCIT Chickballapur,India
Vinolya S Dept. of ECE , SJCIT Chickballapur,India
Siriguppa Varshitha Dept. of ECE , SJCIT Chickballapur,India
Abstract Attendance system in any form has been an integral part of record keeping. However sometimes due to unrealistic reasons opportunistic students tend to answer the roll call of their classmates which hampers the originality of attendance and efficacy of record keeping. Hence, it is necessary to develop an innovative technique through which anti-cheating system can be employed in colleges. Biometrics with location enabled boundary conditions offers a new solution to such problems because of its highly secure and distinguishable features. In this paper a smart attendance system has been developed with a user friendly interface to record the attendance. Compared with the traditional attendance mechanisms, boundary conditions enabled biometrics based attendance system is more effective because here the biometrics of a person is used which cannot be replicated and hence reduces the possibility of false records. To evaluate the performance of our system, we conducted few surveys by checking the location enabled boundary condition. The results of which are exceptionally good and has an average accuracy of 98%.
Keywords Biometrics; location enabled boundary conditions; college attendance; Global positioning system; record analysis; unique identification.
Smart attendance system is a quick tool to record a students attendance by enabling the device location and registering the attendance using the biometrics available on the users phone. This technique uses the global positioning system (GPS) which maps the approximate location of the users phone, and by cross verifying whether the boundary conditions set by the teacher matches the location of the students phone. If the location has been verified a pre-set timer page which has to be unlocked using biometrics will open, and the attendance can be registered by the student. To reduce the occurrence of malpractices, a location enabled biometrics will reduce the proxy attendance being registered, which will help the management to keep a track on the attendance of the students.
In  , attendance has always been an important part of record management. However, some opportunistic students may consign others to proxy the attendance on behalf of the other, which changes the authenticity of attendance and effectiveness of record keeping. Hence, it is necessary to develop an innovative anti-cheating system for record management. The developed technique here is using RFID tags , but this can be carried by other individuals and register the proxy attendance. So in order to avoid such malpractices this paper contains an effective solution.
The mechanism which has been built in the proposed model is to be integrated in an APP. Here it is a two way communication process where there are two control flow processes to be managed by both teacher and the student. In this process teacher grants permission for the student to access the classroom page which will display the access for attendance register page in the student interface, which then allows the student to register the attendance.
Figure 1 shows the control flow which takes place when the user installs the APP for the first time. The control starts by asking the sign in details such as E-mail ID and phone number. These details will be sent to the college management and will get verified. Once the verification is done a mail will be sent to the users mail ID along with a link which decides whether the user is a teacher or a student. Upon clicking the link, the user interface will be setup in the APP with which the further process can be continued. Since this is a user specific interface malpractices can be avoided and better functioning and analysis of records can be done. This in turn increases the efficiency of the proposed idea. Since the interfacing is different each interface here has a different functionality thus increases the efficiency of the proposed idea.
Figure 1: Shows the control flow process which takes place once the APP is installed.
Teachers phone interfacing and control flow step 1: Figure 2 shows the teachers phone interfacing and the first three steps of the control process. The home page which is
displayed upon opening the APP has a menu bar in it upon
clicking which Clicking two options will drop down. The first one will be a control to open the take attendance page and the second one is a control to open the record analysis page. The
record analysis page contains details such as previous attendance analysis using bar graphs, percentages, etc.,. Upon clicking the take attendance page the control flow opens a new page in which a code which is unique to every teacher has to be entered . Every college can customize their teacher access code as per their convenience and pre-load it in a database, so that once the teacher tries to login through the code provided by the management, that particular teachers time table and related data will get restored.
Figure 2: Shows the control process in the teachers phone once the teacher starts the registration process
Teachers phone interfacing and control flow step 2: Figure 3 shows the next three steps in the control process of using the teachers interface. Once the teacher access code is
entered the control goes to the next page which displays two
options, the first one is the teachers time table, from which the teacher can select the class for which the attendance has to be taken. The second option is an extra class option. This option is added so that the teacher taking attendance for classes which are handled out of the pre-loaded time table will also be recorded. Upon clicking any one of the two options provided a new page opens and has two options, the first one is room number and the second one is radius. On clicking the room number the control will give a set of few room numbers which are pre-loaded with their respective latitude and longitude boundary conditions from which the teacher can select the room number in which the class is being handled.
Figure 3: Shows the control flow process which takes place once the teachers interface is setup in the APP and room number block is selected.
Teachers phone interfacing and control flow step 3: Figure 4 shows the location control flow in the teachers interface where the location boundary is to be monitored by setting a particular radius. Once the radius is set for a particular area, the devices location has to be monitored for the radius being set by the teacher, for which the phones location access permission will be asked, and if the access has been granted by the teacher, the latitude and longitude boundaries for the radius set will be continuously monitored until the whole process gets completed.
Figure 4: Shows the control flow process which takes place once the teachers interface is setup in the APP and radius block is selected.
Teachers phone interfacing and control flow step 4: Figure 5 shows the control flow in the teachers interface where the student access page will displayed and once the access has been granted by the teacher the students can register their attendance from the student interface set up in their phone.
Figure 5: Shos the classroom access page being activated by the teacher
Teachers phone interfacing and control flow step 5:
Figure 6 shows the final stage of the teacher interface control flow process. The classroom access can be locked after a particular time as per the teachers wish. Upon locking the class the pre-loaded IDs of all the students will be checked with the IDs registered as attendance for that particular class. The IDs which are not common in both the databases will give the list of students who are absent. Other details can also be customised such as analysis of attendance on daily basis, irregular student's details. Once all these processes are done the process is complete and the teacher can exit the APP.
Figure 6: Shows the final stage of the teacher interface
Students phone interfacing and control flow step 1: Figure 7 shows the students phone interfacing and the first three steps of the control flow process. The home page which opens upon clicking the APP has one main functionality that
is the menu bar. Clicking the menu bar will drop down two options, the first one will be a control to open the register attendance page and the second one is a control to open the previous record analysis page. The previous record analysis page contains details such as number of classes attended out of number of classes taken, percentage analysis etc., upon clicking the register attendance page the control flow opens a new page in which that particular days time table as well as extra class option will be displayed. Upon clicking the particular class displayed on the time table block for which the attendance has to be registered, the control checks if the teacher has granted permission to register the attendance. If the permission is granted the control goes to the next page.
Figure 7: Shows the control process in the students phone once the student starts the attendance registration process
Students phone interfacing and control flow step 2: Figure 8 shows the final procedure in registering the attendance. In this page the devices location will be asked to turn ON, once the location is turned ON the control goes to a new page in which the pre-set boundary conditions set by the teacher (as discussed in section 1) will be checked with the current device location of the students phone. If the current device location falls inside the boundary condition set by the teacher the control goes to a new page which is a pre-set timer page of few seconds (for example: 5 seconds) which has to be unlocked using biometrics within the timer specified, if the process fails, the control goes back to the boundary condition check page and the process repeats until the timer page has been unlocked using biometrics.Once the attendance is registered the control flow ends there and the application can be closed. Figure 9 shows the block diagram of the complete proposed system on the students interface
Figure 8: Shows the final process in registering the attendance
Figure 9: Shows the block diagram of the proposed system on the students interfac
RESULTS AND DISCUSSION
In this paper, the proposed device-free attendance system has a methodologies and evaluation of this system included in it. We conducted several surveys and the results show that our system performs excepectionally well, with an average accuracy of 98%. In future work, the main area of focus will be on analysis of attendance in the form of pie charts, bar graphs etc.,. The whole motive of our project is to effectively monitor the presence of students in the classroom.
The smart attendance system frees up time for teachers. They can now focus on improving their teaching techniques and spend time with their learners. Finally, such improvement will also contribute to the facultys growth as a whole. Student achievement is intimately tied to their participation in classes. High attendance enhances student results as they stay informed about course content, test schedule, grading criteria, etc.With the smart attendance system, college management board can track the attendance not only of students but also of teachers. Since this process is fully automatic it saves a lot of time and serves as a non-proxy mechanism.
Extending immense gratitude to Shreehari H S for his constant support and assistance throughout the building process of the project and has been an active part in the research work as well.
REFERENCES Smart attendance system based on frequency algorithm and Passive RFID tags, Qianwen Miao, Fu Xiao , Haiping Huang, Lijuan Sun, and Ruchuan Wang  K. Cao and A. K. Jain, Automated latent fingerprint recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence (Early Access), doi: 10.1109/TPAMI.2018. 2818162  Y .Wang, K. Wu, and L. M. Ni, WiFall: Device-free fall detection by wireless networks, IEEE Trans. on Mobile Computer, vol. 16, no. 2, pp. 581594, 2017.  J. L. Zhang, P. Liu, F. Zhang, and Q. Q. Song, CloudNet: Ground- based cloud classification with deep convolutional neural network, Geophysical Research Letters, vol. 45, no. 16, pp. 86658672, 2018.  Z. Li, D. Gong, Q. Li, D. Tao, and X. Li, Mutual component analysis for heterogeneous face recognition, ACM Trans. on TIST, vol. 7, no. 3, pp. 123, 2016.  D. Halperin, W. Hu, A. Sheth, and D. Wetherall, Tool release: Gathering 802.11N traces with channel state information, in ACM SIGCOMM Comput. Commun, vol. 41, no. 1, p. 53, 2011  A. E. Kosba, A. Saeed, and M. Youssef, RASID: A robust WLAN device-free passive motion detection system, in Proc. IEEE Int. Conf. on PerCom, Lugano, Switzerland, 2012, pp. 180189.  L. Yang, Y. Chen, X. Y. Li, C. Xiao, M. Li, and Y. H. Liu, Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices, in Proc. 20th MobiCom, Maui, HI, USA, 2014, pp. 237248.  M. Sharif, S. Bhagavatula, L. Bauer, and M. K. Reiter, Accessorize to a crime: Real and stealthy attacks on stateof-the-art face recognition, in Proc. ACM SIGSAC Conf., Vienna, Austria, 2016, pp. 15281540.  Z. Li, F. Xiao, S. Wang, T. Pei, and J. Li, Achievable rate maximization for cognitive hybrid satellite-terrestrial networks with AF-relays, IEEE
J. on Selected Areas in Communications, vol. 36, no. 2, pp. 304313, 2018. S. Thakre, A. K. Gupta, and S. Sharma, Secure reliable multimodel biometric fingerprint and face recognition, in Proc. 12th Int. Conf. ICCCI, Coimbatore, India, 2017, pp. 14.  F. Chen, P. Deng, J. Wan, D. Zhang, A. V. Vasilakos, and X. Rong, Data mining for the Internet of Things: Literature review and challenges, Int. J. Distrib. Sensor Netw., vol. 2015, pp. 114, 2015, Art. ID 431047, doi: 10.1155/2015/431047.  E. Murakami and D. P. Wagner, Can using global positioning system (GPS) improve trip reporting? Transp. Res. C, Emerg. Technol., vol. 7, nos. 23, pp. 149165, 1999.  Y. Zhang and X. Meng, Attendance management system based on 553 LBS, Comput. Syst. Appl., vol. 10, no. 20, pp. 610, 2011  Smart Attendance System by Swarnendu Ghosh, Shafi KP Mohammed, Neeraj Mogal, Prabhu Kalyan Nayak, Biswajeet Champaty