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Edge-AI-Based Real-Time Automated License Plate Recognition System
| Content Provider | MDPI |
|---|---|
| Author | Lin, Cheng-Jian Chuang, Chen-Chia Lin, Hsueh-Yi |
| Copyright Year | 2022 |
| Description | The rapid development of urban intelligence has turned intelligent transport system (ITS) development into a primary goal of traffic management. Automated license plate recognition (ALPR) for moving vehicles is a core aspect of ITS. Most ALPR systems send images back to a server for license plate recognition. To reduce delays and bandwidth use during image transmission, this study proposes an edge-AI-based real-time ALPR (ER-ALPR) system, in which an AGX XAVIER embedded system is embedded on the edge of a camera to achieve real-time image input to an AGX edge device and to enable real-time automatic license plate character recognition. To assess license plate characters and styles in a realistic setting, the proposed ER-ALPR system applies the following approaches: (1) image preprocessing; (2) You Only Look Once v4-Tiny (YOLOv4-Tiny) for license plate frame detection; (3) virtual judgment line for determining whether a license plate frame has passed; (4) the proposed modified YOLOv4 (M-YOLOv4) for license plate character recognition; and (5) a logic auxiliary judgment system for improving license plate recognition accuracy. We tested the proposed ER-ALPR system in selected real-life test environments in Taiwan. In experiments, the proposed ER-ALPR system achieved license plate character recognition rates of 97% and 95% in the day and at night, respectively. Through the AGX system, the proposed ER-ALPR system achieves a high recognition rate at a low computational cost. |
| Starting Page | 1445 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app12031445 |
| Journal | Applied Sciences |
| Issue Number | 3 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-28 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Transportation Science and Technology License Plate Recognition Deep Learning Embedded System You Only Look Once (yolo) |
| Content Type | Text |
| Resource Type | Article |
