低功耗无线图像系统实现车牌识别，3.2秒内完成传输
Design of a communication system Images for identification of vehicle plates
- 用ESP32-CAM与LoRa模块搭建实时图像采集传输系统
- 光照理想时识别率达92.4%，平均延迟仅3.2秒
- 适合门禁、车辆监控等低功耗场景应用
本文设计并实现了一种用于车牌识别的低功耗无线图像传输系统，采用ESP32-CAM和LoRa DXLR01模块。系统实时捕获图像，在本地处理后通过UART2传输至另一ESP32，再经由LoRa链路发送至ThingSpeak平台进行远程监控。实验结果表明，在最佳光照条件下，系统识别率达到92.4%，平均传输延迟为3.2秒。该系统的高能效使其适用于门禁控制、车辆监控及基础设施监测等场景。
原文摘要 · Abstract (English)
This work presents the design and implementation of a low-energy wireless image transmission system for vehicle plate recognition, using the ESP32-CAM and LoRa DXLR01 modules. The system captures images in real time, processes them locally and transmits them via UART2 to a second ESP32. Subsequently, the data is sent through the LoRa link and stored on the ThingSpeak platform for remote monitoring. The experimental results show that the system achieves a recognition rate of 92.4% under optimal lighting conditions and an average transmission latency of 3.2 seconds. The energy efficiency of the system makes it suitable for applications in access control, vehicular surveillance and infrastructure monitoring.
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