Design of a communication system Images for identification of vehicle plates

TL;DR

This paper presents a low-energy wireless image transmission system for vehicle plate recognition using ESP32-CAM and LoRa modules, achieving high recognition accuracy and suitable for surveillance applications.

Contribution

The work introduces a novel low-energy wireless system combining local image processing with LoRa transmission for vehicle plate recognition.

Findings

Recognition rate of 92.4% under optimal lighting

Average transmission latency of 3.2 seconds

Energy-efficient design suitable for surveillance

Abstract

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.