Abstract:
—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, offer
ing a comprehensive solution for monitoring traffic, detecting
license plates, and estimating vehicle speed.This research directly
supports SDG 9 (Industry, Innovation and Infrastructure) by cre
ating innovative technological infrastructure, and also contributes
to SDG 11 (Sustainable Cities and Communities) by enhancing
road safety and traffic management.