Open Access
Issue
EPJ Web Conf.
Volume 363, 2026
International Conference on Low-Carbon Development and Materials for Solar Energy (ICLDMS’26)
Article Number 02004
Number of page(s) 12
Section Engineering Materials
DOI https://doi.org/10.1051/epjconf/202636302004
Published online 16 April 2026
  1. G.T. Olorunyomi, B.D. Abayomi, T.A. Tesleem, A.B. Abdulaziz, O. Dotun, Exploring the integration of deep learning in CCTV systems for enhanced security measures in academic libraries, J. Eng. Res. Reports, 27(2), 310–323 (2025). https://doi.org/10.9734/jerr/2025/v27i21411 [Google Scholar]
  2. D. Neupane, A. Bhattarai, S. Aryal, M.R. Bouadjenek, U. Seok, J. Seok, Shine: A deep learning-based accessible parking management system, Expert Syst. Appl., 238, 122205(2024). https://doi.org/10.1016/j.eswa.2023.122205 [Google Scholar]
  3. W. Bernasco, M.E. Hoeben, D. Koelma, L.S. Liebst,J. Thomas,J. Appelman, C.G.M. Snoek, M.R. Lindegaard, Promise into practice: Application of computer vision in empirical research on social distancing, SMR, 52(3), 1239–1287, (2022). https://doi.org/10.1177/00491241221099554 [Google Scholar]
  4. U.U. Deshpande, S. Shanbhag, R. Patil, R.A.A. Chate, S.D.C.S. Araujo, K. Pinto, J. Arjun,M. Patil,B. Nirwani, Automatic two-wheeler rider identification and tripleriding detection in surveillance systems using deep-learning models, Discov.Artif.Intell, 5, 104, (2025). https://link.springer.com/article/10.1007/s44163-025-00263-3 [Google Scholar]
  5. D.A. Guastella, E. Pournaras, Cooperative,Multi-Agent Traffic Monitoring Can Reduce Camera Surveillance, IEEE Access, 11, 142125–142145, (2023). https://doi.org/10.1109/access.2023.3343620 [Google Scholar]
  6. S.I. Hussain, S.M. Sivam, M. Athunan, Innovative Approaches to Road Surface Type Classification A Synergy of Vibration Data, Machine Learning, and MCNN-Based Pothole Detection, IEEE Xplore, ICAICCIT,618-623 (2024). https://doi.org/10.1109/ICAICCIT64383.2024.10912109 [Google Scholar]
  7. S.I. Hussain, M. Athunan, S.M. Sivam, Revolutionizing Road Surface Classification: Integrating Vibration Data and MCNN for Enhanced Pothole Detection, IEEE Xplore, ICAICCIT, 727-732 (2024). https://doi.org/10.1109/ICAICCIT64383.2024.10912432 [Google Scholar]
  8. K. Saini, S. Sharma, Smart Road Traffic Monitoring: Unveiling the Synergy of IoT and AI for Enhanced Urban Mobility,ACM Comput. Surv., 57(11), 1–45, (2025). https://doi.org/10.1145/3729217 [Google Scholar]
  9. M.M. Daud, M.H.M. Saad, N.H. Kamarudin, M.T. Ijab, F.M. Ali, Application of Automated Intelligent Video Surveillance System with Deep Learning Capability for Safety Monitoring in Manufacturing Sector, JISTEM, 8(33), 42–56, (2023). https://gaexcellence.com/jistm/article/view/2722,https://doi.org/10.35631/JISTM.833004 [Google Scholar]
  10. G.V. Reddy, A. Gandla, J. Veldurthi, R. Dugyala,K.A. Mohammed, B. Swathi, R. Sobti, A. Kumar, A comprehensive review on helmet detection and number plate recognition approaches, E3S Web of Conf., 507, 01075, (2024). https://doi.org/10.1051/e3sconf/202450701075 [Google Scholar]
  11. A.F. Rozy, R. Purnama, VIMOIS: The student violation point monitoring information system, Edumatic: J. Pendidikan Informatika, 6(2), 160–166, (2022). https://doi.org/10.29408/edumatic.v6i2.5813 [Google Scholar]
  12. S.B. Veesam, A.R. Satish, Design of an iterative method for CCTV video analysis integrating enhanced person detection and dynamic mask graph networks, IEEE Access, 12, 157630–157656, (2024). https://doi.org/10.1109/ACCESS.2024.3485896 [Google Scholar]
  13. H.T. Duong, V. Tuan Le, V.T. Hoang, Deep learning-based anomaly detection in video surveillance: A survey, Sensors, 23(11), 5024, (2023). https://doi.org/10.3390/s23115024 [Google Scholar]
  14. N. Dwivedi, D.K. Singh, D.S. Kushwaha, A novel approach for suspicious activity detection with deep learning, Multim. Tools Appl, 82(21), 32397–32420, (2023) https://doi.org/10.1007/s11042-023-14445-7 [Google Scholar]
  15. A.T. Nugraha, Design and Build a Distance and Heart Rate Monitoring System on a Dynamic Bike Integrated with Power Generating System JEEEMI, 4(4), 210–215, (2022). https://doi.org/10.35882/jeeemi.v4i4.260 [Google Scholar]

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