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Development of a Smart System for Detecting Illegal Parking Violations in Nigeria
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 80 |
| Year of Publication: 2026 |
| Authors: Oluwaseun Adeniyi Ojerinde, Ekundayo Abayomi, Enesi Femi Aminu, Bitrus Theophilus |
10.5120/ijca2026926365
|
Oluwaseun Adeniyi Ojerinde, Ekundayo Abayomi, Enesi Femi Aminu, Bitrus Theophilus . Development of a Smart System for Detecting Illegal Parking Violations in Nigeria. International Journal of Computer Applications. 187, 80 ( Feb 2026), 1-8. DOI=10.5120/ijca2026926365
Abstract
This study develops a smart system for detecting illegal parking violations in Nigeria. The system is designed to automatically detect, identify, and report parking violations using computer vision, Internet of Things (IoT) and cloud technologies. To obtain photos of the vehicles that are parked in the area where parking is prohibited, the system is equipped with an ESP32-CAM. These photos are then sent to a cloud-based Flask server, which runs a YOLOv8 model for vehicle and plate detection and Tesseract OCR for license plate recognition. The detected plates are cross-checked with a Supabase database to find vehicles that are not registered, annotated results along with the description of the violations are sent to the police (law enforcement agents) as an alert on a web dashboard in real-time. The system was evaluated with performance metrics which include accuracy, precision, and reliability under different lighting and environmental conditions. The results obtained from the evaluation process demonstrate the potential of the system to be implemented as a scalable and cost-efficient solution for urban traffic enforcement in Nigeria.
References
- G. Ali et al., “IoT based smart parking system using deep long short memory network,” Electronics (Switzerland), vol. 9, no. 10, pp. 1–18, Oct. 2020, doi: 10.3390/electronics9101696.
- S. Parvin, L. J. Rozario, and Md. E. Islam, “Vehicle Number Plate Detection and Recognition Techniques: A Review,” Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 423–438, Mar. 2021, doi: 10.25046/aj060249.
- S. S. Kathait, A. Kumar, S. Sawal, R. Patidar, and K. Agrawal, “Computer Vision and Deep Learning based Approach for Violations due to Illegal Parking Detection,” 2025.
- M. R. George, “Review of the Vehicle Detection System for No Parking,” 2025.
- M. Spanu et al., “Smart Cities Mobility Monitoring through Automatic License Plate Recognition and Vehicle Discrimination,” in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2021. doi: 10.1109/BMSB53066.2021.9547163.
- J. Bae, M. Lee, U. Kim, and S. Lee, “SLAM-Based Illegal Parking Detection System,” in Proceedings - SIGGRAPH Asia 2024 Posters, SA 2024, Association for Computing Machinery, Inc, Dec. 2024. doi: 10.1145/3681756.3697873.
- O. C. Godswill, “On-Street Parking Prohibition and Travel Behaviour of Motorists in Aba, Nigeria,” International Journal of Environment, Agriculture and Biotechnology, vol. 3, no. 2, pp. 407–421, 2018, doi: 10.22161/ijeab/3.2.13.
- N. D.N, A. Chidiebere A, O. C. Felix, and E. C.C., “Analytical Study of Causes, Effects and Remedies of Traffic Congestion in Nigeria: Case Study of Lagos State,” International Journal of Engineering Research and Advanced Technology, vol. 05, no. 09, pp. 11–19, 2019, doi: 10.31695/ijerat.2019.3542.
- C. Wei and W. Wang, “RFAG-YOLO: A Receptive Field Attention-Guided YOLO Network for Small-Object Detection in UAV Images,” Sensors, vol. 25, no. 7, Apr. 2025, doi: 10.3390/s25072193.
- National Bureau of Statistics., “Road Transport FRSC Q3,Q4 2021,” 2021.
- A. Sarhan et al., “Egyptian car plate recognition based on YOLOv8, Easy-OCR, and CNN,” Journal of Electrical Systems and Information Technology, vol. 11, no. 1, Aug. 2024, doi: 10.1186/s43067-024-00156-y.
- A. Quadri, A. Kumar, T. Sahu, P. Kumar, S. K. Rakesh, and B. T. Scholars, “IOT Based Car Parking System,” 2023. [Online]. Available: https://ssrn.com/abstract=4411592
- M. Elassy, M. Al-Hattab, M. Takruri, and S. Badawi, “Intelligent transportation systems for sustainable smart cities,” Jun. 01, 2024, Elsevier Ltd. doi: 10.1016/j.treng.2024.100252.
- Saravanan G, Brettlee salomon, Cibi S, Dharun T, and Hari Krishnan P, “Smart Parking System with Computer Vision,” International Research Journal on Advanced Engineering Hub (IRJAEH), vol. 2, no. 12, pp. 2816–2820, Dec. 2024, doi: 10.47392/irjaeh.2024.0389.
- S. M. Syed-Mohamad, A. Ngah, A.-F. M. Ali, and P. Keikhosrokiani, “Measuring Software Maintainability: An Exploration of Metrics and Continuous Practices,” Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 63, no. 2, pp. 181–195, Mar. 2025, doi: 10.37934/araset.63.2.181195.
- J. Shashirangana, H. Padmasiri, D. Meedeniya, and C. Perera, “Automated license plate recognition: A survey on methods and techniques,” 2021, Institute of Electrical and Electronics Engineers Inc. doi: 10.1109/ACCESS.2020.3047929.
- Lubna, N. Mufti, and S. A. A. Shah, “Automatic number plate recognition:A detailed survey of relevant algorithms,” May 01, 2021, MDPI AG. doi: 10.3390/s21093028.
- C. Li et al., “PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System,” Jun. 2022, [Online]. Available: http://arxiv.org/abs/2206.03001
- A. Raina and S. Kumar, “GUI BASED IMPLEMENTATION OF OCR USING TESSERACT ALGORITHM,” 2019.
- X. Peng et al., “Real-Time Illegal Parking Detection Algorithm in Urban Environments,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, 2022, doi: 10.1109/TITS.2022.3180225.
- J. Tang, L. Wan, J. Schooling, P. Zhao, J. Chen, and S. Wei, “Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases,” Cities, vol. 129, p. 103833, Oct. 2022, doi: 10.1016/J.CITIES.2022.103833.
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