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Smart city article details
| Title | Automatic Vehicle Number Plate Recognition: A Narrative Review Of End-To-End Workflow |
|---|---|
| ID_Doc | 11399 |
| Authors | Raj A.; Kumar Thakkar H.; Singh P. |
| Year | 2025 |
| Published | 2025 International Conference on Pervasive Computational Technologies, ICPCT 2025 |
| DOI | http://dx.doi.org/10.1109/ICPCT64145.2025.10940612 |
| Abstract | In the current era, technology helps a lot to enhance human experiences leading to smart city development, which includes optimized energy usage, better healthcare availability, minimal governance, and intelligent mobility. However, considering the increase in day-to-day traffic, intelligent mobility is crucial, and its effective implementation is ensures flawless vehicle movements. The primary goal of is to design and develop the Intelligent Transportation Systems (ITS). The effective ITS ensures automatic vehicle movement management, and automatic traffic rule violation detection, which heavily relies on Automatic Vehicle Number Plate Recognition (AVNPR). In this paper, we described end-to-end workflow of AVNPR including the technologies used in each stage, the benefits and drawbacks of each technology followed by the limitations. The proposed paper exclusively reviews the modern, state-of-the-art models and architectures, and pioneered works carried out within the research area of AVNPR and the recent advancements. © 2025 IEEE. |
| Author Keywords | Automatic Vehicle Number Plate Recognition (AVNPR); Deep Learning; Intelligent Mobility; Intelligent Transport System (ITS); Machine Learning; OCR |
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