SURVEY ON IOT-BASED CELL PHONE DETECTION IN EXAM

Survey on IoT-based cell phone detection in exam

Prof. Soniya Dhotre , Rutika Patil, Sayali Bhand, Sidharth Gore, Gaurav Borude

Prof. Soniya Ravindra Dhotre, Comp Engin, SAE (srdhotre.sae@sinhgad.edu)

Rutika Arun Patil, Comp Engin, SAE (rutikapatil.sae.comp14@gmail.com)

Sayali Baban Bhand, Comp SAE (sayalibhand.sae.comp@gmail.com)

Sidharth Sandip Gore, Comp SAE (sidharthgore.sae.comp@gmail.com)

Gaurav Sanjay Borude, Comp SAE (gauravborude.sae.comp@gmail.comp)

ABSTRACT:

This project proposes a technology to detect a cellphone that is being used by a restricted user in a restricted area, and also show the location of the user, to prevent the user from continuous use of the cellphone. the right number is checked. However, it is often busy and take time for an outsized number of scholars.
Therefore, to avoid this problem, automated detection and identification of phones has been integrated. Currently there are mobile jammer to jam the whole network, but only to seek out cell phones of scholars who have been present within the exam hall there. It automatically detects the activity telephone within the e-hall and displays this information with the mobile detector on the remote computer (administrator) within the GUI until it detects the message, room number, location, etc.
That is, it determines the precise place. Calculates the space between position (detected) and detector, identifies increasing boundaries, and adds new dimensions to rooms like remote computers, switching from one room to a different one.
Key Words: Data Analytics, Cheating Prevention, Computer Vision, Machine Learning in IoT, CST, mobile phone detection, multi-band antenna and single-dipole antenna.