ELECTRONIC PROTECTION FOR EXAM PAPER LEAKAGE USING IOT TECHNOLOGY

Abstract

This project describes Electronic protection for exam paper leakage which is a highly secured system. The examination is mainly the heart of the education system. We have proposed an electronic system to detect and prevent exam paper leakages. In this intended system, the question papers which are in the electronically locked box will be sent to the examination centers. The box will be opened after a predefined date, time and only by an authorized user. If the date, time matches, only then the box will open. In this system we are using a buzzer for any sort of unauthorized interference.
The main problem in this research is the increasing prevalence of theft and burglary cases. This incident was caused by the busyness of every person in his daily life so that he forgot the security of exam room. The IoT-based security system that utilizes the IR sensor as a human motion detector and then sends a notification in the form of notification via message and e-mail, is one solution to overcome the problem that was previously proposed in previous research. However, to further clarify the warnings sent from the system, a security system is needed that can attach images in the notification. In this study developing an IoT-based security system for preventing and detecting exam paper leakage. The IoT security system developed, can automatically send email alerts by attaching images when the IR sensor detects human presence. The IoT system requires a Arduino UNO as a microcontroller that has been connected to the internet, a IR sensor to detect human movement and Camera to capture images when there are human encounters that are within the range of IR sensors. Experiments in the study show that the IoT system can automatically send email alerts by attaching images when IR sensors detect human presence in various light conditions with a range of 0-5 meters and the speed of sending email alerts affected by conditions of internet network connections and files size of image sent.