IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 121

Article Submitted : 24719

Article Published : 9358

Total Authors : 24865

Total Reviewer : 861

Total Countries : 169

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Unified Intelligent Proctoring System for Remote and Classroom Exams Using Multimodal Transformer
Authors Name: DHARNISH K M , RAJESH I , AKASHKUMAR R , SRI GOKULAKANNAN
Download E-Certificate: Download
Author Reg. ID:
IJRTI_212000
Published Paper Id: IJRTI2605014
Published In: Volume 11 Issue 5, May-2026
DOI:
Abstract: The transition toward decentralized educational structures has deeply complicated the enforcement of academic integrity. Conventional proctoring approaches demand unsustainable human capital, while modern digital countermeasures typically default to rigid browser-lockdown applications. These isolated utilities successfully restrict local operating system navigation but entirely fail to observe external physical cheating vectors, leaving assessments vulnerable. To resolve these systemic deficiencies, this paper introduces the Unified Intelligent Proctoring System, a comprehensive monitoring architecture engineered for both virtual and physical examination scenarios. The processing engine centers on a Multimodal Temporal Transformer built upon the PyTorch framework, which simultaneously ingests and evaluates tripartite data streams: spatial visual characteristics, acoustic irregularity markers, and continuous behavioral telemetry from peripheral devices. Unlike conventional single-modality detection methods that frequently trigger erroneous flags, this system leverages temporal self-attention to intelligently distinguish between fleeting benign movements and prolonged fraudulent activities. The technological delivery vehicle consists of a reactive user interface paired with a high-performance Python server. By utilizing persistent bidirectional WebSocket connections, the platform dynamically aggregates the multimodal evaluations into a granular risk score, actively broadcasting diagnostic insights directly to an administrative dashboard. This synchronized fusion of deep learning and real-time web technologies establishes an automated, highly scalable invigilation environment that guarantees objective assessment conditions and minimizes administrative oversight fatigue.
Keywords: Academic integrity , artificial intelligence , behavioral analysis , computer vision , multimodal temporal transformer , real-time monitoring , suspicion index.
Cite Article: "Unified Intelligent Proctoring System for Remote and Classroom Exams Using Multimodal Transformer", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a95-a103, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605014.pdf
Downloads: 000205546
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2605014
Registration ID:212000
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a95-a103
Country: salem, Tamilnadu, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605014
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605014
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner