Sentinel AI powered Campus management

  • Unique Paper ID: 204892
  • Volume: 13
  • Issue: 1
  • PageNo: 4466-4471
  • Abstract:
  • In the context of the existing educational institution campus management and security systems, it is seen that the chances of errors in the manual recording process, the "proxy attendance" issue, and the absence of movement tracking within the campus environment pose challenges. The current paper introduces the concept of the Sentinel campus management and security framework, which is completely automated and incorporates the benefits of Artificial Intelligence. Technological Breakthrough In the context of the proposed campus management and security framework, it is seen that the existing HOG-based dlib detectors are being replaced with the RetinaFace technology to ensure the best possible performance with pixel-wise localization and landmark detection. Furthermore, the proposed system incorporates the ArcFace (ArcNet) algorithm to ensure the best possible performance with the generation of 512-dimensional vectors using the additive angular margin loss function. In the context of the proposed campus management and security framework, it is seen that the dual-layer tracking logic is introduced to cross-check the "Campus Entry" data with the "Classroom Presence" data. Furthermore, the proposed system incorporates the "manual professor-led override" to ensure the best possible balance between the automated process and the administrative control required to ensure the best possible campus management and security.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{204892,
        author = {Shriraj Sanjay Nevase and Sangram Nandkumar Bhosale and Prasad krishndev Kasurde and Nikita Ajit Karne and Prof.Bankar D.G and Prof. Samgir.K.R},
        title = {Sentinel AI powered Campus management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4466-4471},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204892},
        abstract = {In the context of the existing educational institution campus management and security systems, it is seen that the chances of errors in the manual recording process, the "proxy attendance" issue, and the absence of movement tracking within the campus environment pose challenges. The current paper introduces the concept of the Sentinel campus management and security framework, which is completely automated and incorporates the benefits of Artificial Intelligence. Technological Breakthrough In the context of the proposed campus management and security framework, it is seen that the existing HOG-based dlib detectors are being replaced with the RetinaFace technology to ensure the best possible performance with pixel-wise localization and landmark detection. Furthermore, the proposed system incorporates the ArcFace (ArcNet) algorithm to ensure the best possible performance with the generation of 512-dimensional vectors using the additive angular margin loss function. In the context of the proposed campus management and security framework, it is seen that the dual-layer tracking logic is introduced to cross-check the "Campus Entry" data with the "Classroom Presence" data. Furthermore, the proposed system incorporates the "manual professor-led override" to ensure the best possible balance between the automated process and the administrative control required to ensure the best possible campus management and security.},
        keywords = {Face Recognition, Retina Face, Arc Face, Automated Attendance, Campus Security, Deep Learning, ERP Integration.},
        month = {June},
        }

Cite This Article

Nevase, S. S., & Bhosale, S. N., & Kasurde, P. K., & Karne, N. A., & D.G, P., & Samgir.K.R, P. (2026). Sentinel AI powered Campus management. International Journal of Innovative Research in Technology (IJIRT), 13(1), 4466–4471.

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