• Mr.KunalS.Pawar E&TC, Sinhgad Institute of Technology Lonavala, India
  • Prof.Pravin C. Latane E&TC, Sinhgad Institute of Technology Lonavala, India



Facial Recognition, Facial Identification, Neural Network Classification, PIR Sensor, Raspberry Pi.


In this research we have proposed IOT based advanced Online examination using Raspberry pi for Alarm system and border security. With the event of recent education, considering the defect of current online exam system, a replacement projection of online exam system primarily based on Raspberry pi IOT is projected, and also the key implementation techniques and ways also are represented. Internet of Things (IOT) has provided a promising chance to make powerful Examination systems and applications by leverage the growing omnipresence of wireless, RFID mobile and detector devices. a large vary of IOT applications are developed in recent years. In a shot to grasp the event of IOT in on-line examination, here we tend to propose this analysis of IOT, IOT key facultative technologies, major IOT applications in on-line examination and identifies analysis trends and challenges. Here we tend to introduce all the examiner details square measure holds on within the server. Then if somebody needs to starts on-line examination, 1st they ought to apply face recognition (in Open CV based) technique. as a result of it slow unwanted person conjointly enter to Wright the examination, thus this can be the simplest thanks to known any culprits square measure found or not. Then examination enter to Wright the exam, here conjointly I am apply some security. Currently a day’s already queries square measure hold on within the on-line or any paper written copy.


Download data is not yet available.


Lv Hai-yan; Lv Hong; Zhou Lijun; Zhang Jie "Research and design of the common curriculum online examination system that used in military academies" Proceedings of 2nd International Conference on Information Technology and Electronic Commerce 2014. DOI:

Bo Hang "The Design and Implementation of On-Line Examination System"2011 International Symposium on Computer Science and Society DOI:

Jia qiaojie; Li juanli; Wang yuanyuan; Liao kaihua; Yun liqing "Design and implementation of remote online examination system based on integration framework" Proceedings of 2011 International Conference on Computer Science and Network Technology. DOI:

C.H. Kautz, “Development of Instructional Materials to Address Student Difficulties in Introductory Electrical Engineering,” Proceedings of the 40th SEFI Annual Conference 2012, Lisbon, Portugal, 228-235, 2012.

Mohammed Issam Younis, Maysam Sameer Hussein, “Construction of an Online Examination System with Resumption and Randomization Capabilities”, International Journal of Computing Academic Research (IJCAR), vol. 4, No. 2, pp. 62-82, April 2015.

LV hai-yan, Lv Hong, Zhou Lijun, Zhang Jie, “Research and Design of the Common Curriculum Online Examination System that Used in Military Academies”, 2nd International Conference on Information Technology and Electronic Commerce (ICITEC), 2014. DOI:

T. M. Fagbola, A. A. Adigun, A. O. Oke, “Computer-Based Test (CBT) System for University Academic Enterprise Examination”, International Journal of Scientific & Technology Research (IJSTR), vol. 2, No. 8, pp. 336-342, August 2013.

Kapil Naik, Shreya's Sule, Shruti Jadhav, Surya Pandey, “Automatic Question Paper Generation System using Randomization Algorithm”, International Journal of Engineering and Technical Research (IJETR), vol. 2, issue 12, December 2014.




How to Cite

Pawar, K., & Latane, P. (2018). INTERNET OF THINGS (IOT) BASED ADVANCED ONLINE EXAMINATION USING RASPBERRY PI . International Journal of Engineering Technologies and Management Research, 5(5), 26–32.