REDLIGHT SHIELD: SMART AI SYSTEM FOR SIGNAL AND SPEED VIOLATION CONTROL

Traffic rule violations such as overspeeding and signal jumping are major contributors to road accidents and traffic congestion.This project introduces an AI-powered system designed to detect and respond to such violations in real-time.The system combines various hardware components, including an RPS (Regulated Power Supply) for power, an RFID module for vehicle identification, an ESP32 camera for capturing images, and IR sensors (IR1 and IR2) for detecting vehicle movement.The ESP32 microcontroller processes the collected data and communicates with output devices such as an LCD display, LED indicators, a GSM module, a buzzer, and an IoT module.It also integrates with Google Cloud for real-time monitoring and data storage.When a traffic violation is detected, the ESP32 camera captures an image of the offending vehicle, and the RFID module retrieves its identification details.Alerts are then triggered through LEDs, buzzers, and GSM-based notifications sent to traffic authorities or the vehicle owner.Additionally, the collected data is stored in Google Cloud for future analysis, traffic management, and law enforcement purposes.The IoT integration enables remote monitoring, making this AI-driven system an effective tool for enhancing road safety and traffic regulation.

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Publication Details

Journal
Journal of Science Engineering Technology and Management Sciences
Published
2025-04-01
DOI
https://doi.org/10.63590/jsetms.2025.v02.i04.pp132-139
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

REDLIGHT SHIELD: SMART AI SYSTEM FOR SIGNAL AND SPEED VIOLATION CONTROL

Ganesh Reddy Karri, M. Kalyan Chakravarthi, Gunji Vijayaaditya, Gandavarapu Adithya
Journal of Science Engineering Technology and Management Sciences
IoT and GPS-based Vehicle Safety Systems
article

REDLIGHT SHIELD: SMART AI SYSTEM FOR SIGNAL AND SPEED VIOLATION CONTROL

Ganesh Reddy Karri, M. Kalyan Chakravarthi, Gunji Vijayaaditya, Gandavarapu Adithya
article en

Abstract

Traffic rule violations such as overspeeding and signal jumping are major contributors to road accidents and traffic congestion.This project introduces an AI-powered system designed to detect and respond to such violations in real-time.The system combines various hardware components, including an RPS (Regulated Power Supply) for power, an RFID module for vehicle identification, an ESP32 camera for capturing images, and IR sensors (IR1 and IR2) for detecting vehicle movement.The ESP32 microcontroller processes the collected data and communicates with output devices such as an LCD display, LED indicators, a GSM module, a buzzer, and an IoT module.It also integrates with Google Cloud for real-time monitoring and data storage.When a traffic violation is detected, the ESP32 camera captures an image of the offending vehicle, and the RFID module retrieves its identification details.Alerts are then triggered through LEDs, buzzers, and GSM-based notifications sent to traffic authorities or the vehicle owner.Additionally, the collected data is stored in Google Cloud for future analysis, traffic management, and law enforcement purposes.The IoT integration enables remote monitoring, making this AI-driven system an effective tool for enhancing road safety and traffic regulation.

Journal of Science Engineering Technology and Management SciencesVol. 2(4)
Vellore Institute of Technology University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 84%
IoT and GPS-based Vehicle Safety Systems
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REDLIGHT SHIELD: SMART AI SYSTEM FOR SIGNAL AND SPEED VIOLATION CONTROL — Ganesh Reddy Karri, M. Kalyan Chakravarthi, et al. · Journal of Science Engineering Technology and Management Sciences (2025) | TGRS Research Map | TGRS