Real-Time IOT Driven Multimodal Proctoring for Fraud-Free Offline Assessments
P.V.S.Anusha
Assistant Professor Raghu Engineering College
Visakhapatnam, India anushapvsphd@gmail.com
K.Varshitha
Computer Science and Engineering (IOT) Raghu Engineering College Visakhapatnam, India kanithivarshitha@gmail.com
M.Raghuram
Computer Science and Engineering (IOT) Raghu Engineering College Visakhapatnam, India raghuram143000@gmail.com
S.Nandini
Computer Science and Engineering (IOT) Raghu Engineering College Visakhapatnam, India
sesetti.nandini30032005@gmail.com
C.Durga Prasad
Computer Science and Engineering (IOT) Raghu Engineering College Visakhapatnam, India
prasadchinthapalli51@gmail.com
V.Raju
Computer Science and Engineering (IOT) Raghu Engineering College Visakhapatnam, India
vemaliraju@gmail.com
Abstract—The Offline Proctoring System using IoT Technology is designed to ensure secure and malpractice-free examinations without relying completely on online proctoring methods. This system uses RFID tags for student authentication and proper seating arrangement, where candidate details and seat information are displayed on an LCD screen, eliminating impersonation. After entry into the examination hall, an IoT-based camera module continuously monitors candidates to detect face spoofing, suspicious movements, head turns, and the usage of mobile phones or unauthorized devices using the YOLO algorithm. Additionally, an I2C MEMS microphone is used to monitor abnormal sound levels such as murmuring or verbal communication by setting a predefined threshold. All the captured data, including RFID information, visual monitoring records, and audio alerts, are securely stored in the cloud for further verification and analysis. By integrating multiple IoT components, the proposed system minimizes human intervention, prevents examination scams, and provides a reliable and efficient offline proctoring solution.
Keywords—IoT, RFID, YOLO, Offline Proctoring, MEMS Microphone, Cloud Storage, Examination Security
