RotaWise: Intelligent Platform for Urban Maintenance
Abstract
This paper presents RotaWise, an intelligent platform for urban maintenance that integrates cameras and an edge device within a vehicle for real-time video processing and urban issue identification. The system leverages computer vision and AI technologies to monitor roads and sidewalks for problems such as potholes, trash, and debris. The experimental results demonstrated RotaWise’s ability to process up to three cameras simultaneously, offering realtime event detection and metadata transmission.
Keywords:
Urban Maintenance, Intelligent Platform, Camera, Vehicle
References
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Chen, G.-W., Lin, Y.-H., and İk, T.-U. (2024). Trafficed: Deployment and management system of edge AI cameras. In NOMS 2024 - 2024 IEEE Network Operations and Management Symposium, pages 1–7. IEEE.
Donati, L., Fontanini, T., Tagliaferri, F., and Prati, A. (2020). An energy saving road sweeper using deep vision for garbage detection. Applied Sciences, 10(22):8146.
Hannan, M., Al Mamun, M. A., Hussain, A., Basri, H., and Begum, R. A. (2015). A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges. Waste Management, 43:509–523.
Kuo, L.-C. and Lin, H.-Y. (2024). Illegal parking detection based on multi-task driving perception. In 2024 IEEE Intelligent Vehicles Symposium (IV), pages 1865–1870. IEEE.
Li, J., Liu, L., Xu, H., Wu, S., and Xue, C. J. (2023). Cross-camera inference on the constrained edge. In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, pages 1–10. IEEE.
Liang, Y., Zhang, S., and Wu, J. (2024). Splitstream: Distributed and workload-adaptive video analytics at the edge. Journal of Network and Computer Applications, 225:103866.
Matsuda, A., Matsui, T., Matsuda, Y., Suwa, H., and Yasumoto, K. (2021). A method for detecting street parking using dashboard camera videos. Sensors & Materials, 33.
Sanchez-Sepulveda, M. V., Navarro, J., Fonseca-Escudero, D., Amo-Filva, D., and Antunez-Anea, F. (2024). Exploiting urban data to address real-world challenges: Enhancing urban mobility for environmental and social well-being. Cities, 153:105275.
Tran, D. N.-N., Pham, L. H., Nguyen, H.-H., Tran, T. H.-P., Jeon, H.-J., and Jeon, J. W. (2022). Universal detection-based driving assistance using a mono camera with Jetson devices. IEEE Access, 10:59400–59412.
Wang, Z., He, X., Zhang, Z., Zhang, Y., Cao, Z., Cheng, W., Wang, W., and Cui, Y. (2022). Edge-assisted real-time video analytics with spatial–temporal redundancy suppression. IEEE Internet of Things Journal, 10(7):6324–6335.
Zhao, N., Wang, K., Yang, J., Luan, F., Yuan, L., and Zhang, H. (2024). CMCA-YOLO: A study on a real-time object detection model for parking lot surveillance imagery. Electronics, 13(8):1557.
Published
2025-05-19
How to Cite
DA SILVA, João P. D.; PARENTE, Thiago B.; SANTOS, Luan I. F.; REGO, Paulo A. L..
RotaWise: Intelligent Platform for Urban Maintenance. In: INNOVATION AND INDUSTRY INTERACTION TRACK - BRAZILIAN SYMPOSIUM ON COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS (SBRC), 43. , 2025, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 394-399.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2025.6888.
