2025 Asian Conference on Communication and Networks (ASIANComNet 2025)

This research details the development of a radar system for vehicle speed detection and license plate recognition, integrating an IR sensor, ESP32 microcontroller, Arduino Uno, and MATLAB software. The system’s primary objective is to accurately measure vehicle speeds and extract number plates using a combination of hardware and software components. The hardware setup includes an IR sensor for vehicle detection and an ESP32 with a Wi-Fi module for data transmission, while an Arduino Uno interfaces these components and collects sensor data. Software aspects involve Arduino IDE for programming the Uno and MATLAB for advanced image processing and analysis, facilitating efficient extraction of number plates. Optical Character Recognition (OCR) algorithms are then employed to recognize alphanumeric characters. By analyzing sequential images captured at specific intervals, the system estimates vehicle speed. This automated system has potential applications in traffic management, law enforcement, and parking enforcement, offering a comprehensive solution for monitoring traffic, detecting license plates, and estimating vehicle speed.This research directly supports SDG 9 (Industry, Innovation and Infrastructure) by creating innovative technological infrastructure, and also contributes to SDG 11 (Sustainable Cities and Communities) by enhancing road safety and traffic management.

Radar system, vehicle speed detection, license plate recognition, IR sensor, ESP32, Arduino, MATLAB, image processing, OCR, traffic management.