Open Access
| Issue |
EPJ Web Conf.
Volume 367, 2026
Fifth International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2026)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 9 | |
| Section | Smart and Sustainable Systems | |
| DOI | https://doi.org/10.1051/epjconf/202636703008 | |
| Published online | 29 April 2026 | |
- S.Himanshu, J.Bharani Kumar, K. Shashank, T.Rama Swamy, IOT based manhole detection and monitoring system. Int J Res Appl Sci Eng Technol, 10(6), 1608–1613 (2022). [Google Scholar]
- Y.Safyari, M.Mahdianpari, H. Shiri, A review of vision-based pothole detection methods using computer vision and machine learning. Sens. 24(17), 5652 (2024). [Google Scholar]
- N.S.Kumar, G.Chandrasekaran, K.P. Rajamanickam, An integrated system for smart industrial monitoring system in the context of hazards based on the internet of things. Int. J. Saf. Secur. Eng. 11(1), 123–127(2021). [Google Scholar]
- D.Pang, Z.Guan, T.Luo, W.Su, R.Dou, Real-time detection of road manhole covers with a deep learning model. Sci. Rep. 13(1), 16479 (2023). [Google Scholar]
- P.Roosipuu, I. Annus, A.Kuusik, N.Kändler, M.M. Alam, Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks. Water Sci. Technol., 88(2), 339–354 (2023). [Google Scholar]
- W.M.Rasheed, R.Abdulla, L.Y. San, Manhole cover monitoring system over IOT.J. Innov. Appl. Technol. 5(3)(2021). [Google Scholar]
- S.Himanshu, J.Bharani Kumar, K.Shashank, T.Rama Swamy, IOT based manhole detection and monitoring system. Int J Res Appl Sci Eng Technol. 10(6), 1608–1613(2022). [Google Scholar]
- K.Gunasegeran, M.H.b.Zohari,IOT Based Outdoor Manhole Detection and Monitoring System. PEAT. 6(2), 225–234 (2025). [Google Scholar]
- H. Zhang, L. Li, X. Liu, Development and test of manhole cover monitoring device using LoRa and accelerometer. IEEE Transactions on Instrumentation and Measurement, 69, 2570–2580 (2020). https://doi.org/10.1109/TIM.2020.2967854 [Google Scholar]
- W. M. Rasheed, R. Abdulla, L. Y. San, Manhole cover monitoring system over IoT. J. Appl. Technol. Innov., 5(3) (2021). [Google Scholar]
- R.Ajay, G.S.Manu, V.Poornima, S.Vaibhav, L.K.Sudha, Low Cost Sewage Monitoring System Using IoT in Smart Cities. J. Xidian Univ. 18(4), 1352–60(2024). [Google Scholar]
- F.Solano, S.Krause, C.Wöllgens. An internet-of-things enabled smart system for wastewater monitoring. IEEE Access, 10, 4666-4685(2022). [Google Scholar]
- Y. Utepov, A. Neftissov, T. Mkilima, Z. Shakhmov, S. Akhazhanov, A. Kazkeyev, A. K. Kozhas, Advancing sanitary surveillance: Innovating a live-feed sewer monitoring framework for effective water level and chamber cover detections. Heliyon, 10(6) (2024). [Google Scholar]
- F. Jan, N. Min-Allah, S. Saeed, S. Z. Iqbal, R. Ahmed, IoT-based solutions to monitor water level, leakage, and motor control for smart water tanks. Water, 14(3), 309 (2022). [Google Scholar]
- N. Streitz, Beyond ‘smart-only’ cities: redefining the ‘smart-everything’ paradigm. J. Ambient Intell. Humaniz. Comput., 10(2), 791–812 (2019). [Google Scholar]
- F. Mo, L. Yu, Z. Zhang, Y. Zhao, Design and implementation of manhole cover safety monitoring system based on smart light pole. Math. Probl. Eng., 2022(1), 3081649 (2022). [Google Scholar]
- R. S. Krishnan, A. Sangeetha, D. A. Kumari, N. Nandhini, G. Karpagarajesh, K. L. Narayanan, Y. H. Robinson, A secured manhole management system using IoT and machine learning. In Recent Advances in Internet of Things and Machine Learning: Real-World Applications, pp. 19–30 (2022). [Google Scholar]
- S. Islur, A. Hadal, A. D. Mane, IoT based manhole monitoring system. SSGM J. Sci. Eng., 1, 189–193 (2023). [Google Scholar]
- B. A. Praveena, B. P. Shetty, M. S. S. Kalasi, S. S. Yadav, M. Prasad, M. N. Sujith, L. Mallikarjun, Design and development of smart manhole. In IOP Conf. Ser.: Mater. Sci. Eng., 1013(1), 012006 (2021). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

