- Home
- Conference
- ICCAIS-2026
- Article
A Machine Learning – Driven Campus Security System Using IoT
Authors
1 2 3 4 5 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering, Tadepalligudem, Andhra Pradesh, India
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 61-65
- Article Type
- Research Article
- Check for updates
-
References
1. V. Sasirekha, R. Ramadevi, C. Malarvizhi, N. Mohankumar, P. Aarthi, and S. Velmurugan, “Intelligent Campus Safety Management using IoT and CNNs for Surveillance, Access, and Emergency Response,” in 2024 3rd International Conference for Innovation in Technology (INOCON), Karnataka, India, 2024, pp. 1–6, doi: 10.1109/INOCON60754.2024.10512335.
2. M. Lakshmi Prasad, R. Bindu, V. Varshitha, and Ch. Srinivasulu, “AI-Driven Solutions with CNN and IoT for Enhancing Visual Impairments,” in 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC), 2025, pp. 394–400, doi: 10.1109/ESIC64052.2025.10962599.
3. V. Reddy, Sunitha R, M. Anusha, S. Chaitra, and A. P. Kumar, “Artificial Intelligence based Intrusion Detection Systems,” in 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2024, pp. 1–5, doi: 10.1109/ICMNWC63764.2024.10872055.
4. S. Hapani, N. Prabhu, N. Parakhiya, and M. Paghdal, “Automated Attendance System using Image Processing,” in 2018 4th International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1–5, doi: 10.1109/ICCUBEA.2018.8697358.
A. Shayea and M. Mangoud, “Enhancing School Safety and Management: A Face Recognition-IoT Based System for Attendance and Behavior Detection,” in 2024 Arab ICT Conference (AICTC), 2024, pp. 244–249, doi: 10.1109/AICTC58357.2024.10735021.
5. T. Sutjarittham, H. H. Gharakheili, S. S. Kanhere, and V. Sivaraman, “Experiences with IoT and AI in a Smart Campus for Optimizing Classroom Usage,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 7595–7607, Oct. 2019, doi: 10.1109/JIOT.2019.2902410.
A. Shaik, J. Varsha, G. Prabhakar Reddy, G. Jayasree, R. Vidya, and L. Sriveni, “Hybrid CNN-LSTM Framework for Robust Speech Emotion Recognition,” in 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2025, pp. 1–6, doi: 10.1109/SCSE65633.2025.11031070.
6. Manjula H S, Nehashree K R, Chaitra M, Navya K N, A. Channaraju, and Kiran C, “Intrusion Detection System to detect impersonation attacks in IoT networks,” in 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE),2024,pp.1–5,doi: 10.1109/IITCEE59897.2024.10467569.
7. E. Yechiam, I. Erev, and G. Barron, “The effect of experience on using a safety device,” Safety Science, vol. 44, no. 6, pp. 515–522, 2006, doi: 10.1016/j.ssci.2005.11.006.
8. V. Bianchi, M. Bassoli, G. Lombardo, P. Fornacciari, M. Mordonini, and I. De Munari, “IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8553–8562, Oct. 2019, doi: 10.1109/JIOT.2019.2920283.
A. N. Sai and K. S. Prasad, “Machine Learning Software for the Detection of Violence from CCTV Live Footage,” Journal of Image Processing and Artificial Intelligence, vol. 9, no. 3, pp. 12–18, 2023, doi: 10.46610/JOIPAI. 2023.v09i03.002.
9. N. S. Kumar, L. Bhargavi, K. SivaKrishna, A. Nallagonda, V. Vamsi, and G. A. Goud, “Real-Time Student Activity Detection and Incident Monitoring using Artificial Intelligence,” in 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2025, pp. 1213–1224, doi: 10.1109/IDCIOT64235.2025.10914692.
10. M. XiNuo, J. Y. Fan, and C. C. Kang, “Student Safety Monitoring System Through IOT Sensors For Bullying Prediction,” in 2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), Bali, Indonesia, 2024, pp. 258–264, doi: 10.1109/IoTalS64014.2024.10799386.
2. M. Lakshmi Prasad, R. Bindu, V. Varshitha, and Ch. Srinivasulu, “AI-Driven Solutions with CNN and IoT for Enhancing Visual Impairments,” in 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC), 2025, pp. 394–400, doi: 10.1109/ESIC64052.2025.10962599.
3. V. Reddy, Sunitha R, M. Anusha, S. Chaitra, and A. P. Kumar, “Artificial Intelligence based Intrusion Detection Systems,” in 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2024, pp. 1–5, doi: 10.1109/ICMNWC63764.2024.10872055.
4. S. Hapani, N. Prabhu, N. Parakhiya, and M. Paghdal, “Automated Attendance System using Image Processing,” in 2018 4th International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1–5, doi: 10.1109/ICCUBEA.2018.8697358.
A. Shayea and M. Mangoud, “Enhancing School Safety and Management: A Face Recognition-IoT Based System for Attendance and Behavior Detection,” in 2024 Arab ICT Conference (AICTC), 2024, pp. 244–249, doi: 10.1109/AICTC58357.2024.10735021.
5. T. Sutjarittham, H. H. Gharakheili, S. S. Kanhere, and V. Sivaraman, “Experiences with IoT and AI in a Smart Campus for Optimizing Classroom Usage,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 7595–7607, Oct. 2019, doi: 10.1109/JIOT.2019.2902410.
A. Shaik, J. Varsha, G. Prabhakar Reddy, G. Jayasree, R. Vidya, and L. Sriveni, “Hybrid CNN-LSTM Framework for Robust Speech Emotion Recognition,” in 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2025, pp. 1–6, doi: 10.1109/SCSE65633.2025.11031070.
6. Manjula H S, Nehashree K R, Chaitra M, Navya K N, A. Channaraju, and Kiran C, “Intrusion Detection System to detect impersonation attacks in IoT networks,” in 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE),2024,pp.1–5,doi: 10.1109/IITCEE59897.2024.10467569.
7. E. Yechiam, I. Erev, and G. Barron, “The effect of experience on using a safety device,” Safety Science, vol. 44, no. 6, pp. 515–522, 2006, doi: 10.1016/j.ssci.2005.11.006.
8. V. Bianchi, M. Bassoli, G. Lombardo, P. Fornacciari, M. Mordonini, and I. De Munari, “IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8553–8562, Oct. 2019, doi: 10.1109/JIOT.2019.2920283.
A. N. Sai and K. S. Prasad, “Machine Learning Software for the Detection of Violence from CCTV Live Footage,” Journal of Image Processing and Artificial Intelligence, vol. 9, no. 3, pp. 12–18, 2023, doi: 10.46610/JOIPAI. 2023.v09i03.002.
9. N. S. Kumar, L. Bhargavi, K. SivaKrishna, A. Nallagonda, V. Vamsi, and G. A. Goud, “Real-Time Student Activity Detection and Incident Monitoring using Artificial Intelligence,” in 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2025, pp. 1213–1224, doi: 10.1109/IDCIOT64235.2025.10914692.
10. M. XiNuo, J. Y. Fan, and C. C. Kang, “Student Safety Monitoring System Through IOT Sensors For Bullying Prediction,” in 2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), Bali, Indonesia, 2024, pp. 258–264, doi: 10.1109/IoTalS64014.2024.10799386.
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.