Traffic Sign Detection, Classification, and  Violation Logging System for Intelligent Driver  Assistance

Harshal kesbhat; Neha Jetty; Meghrai Murmu; Lokoti Vignesh; K. Himabindu

doi:10.71097/IJSAT.v16.i4.8335

Traffic Sign Detection, Classification, and Violation Logging System for Intelligent Driver Assistance

Author(s)	Mr. Harshal kesbhat, Ms. Neha Jetty, Mr. Meghrai Murmu, Mr. Lokoti Vignesh, Dr. K. Himabindu
Country	India
Abstract	Traffic sign recognition plays a crucial role in making our roads safer and supporting the development of smart transportation systems and autonomous vehicles. By correctly identifying traffic signs and providing real-time alerts about potential violations, we can greatly enhance driver safety and promote responsible road behavior. This paper introduces an innovative system designed for real-time detection of traffic signs along with classification and tracking of violations. Our approach utilizes deep learning technology, specifically a Convolutional Neural Network (CNN), to accurately recognize traffic signs. We complement this with a PostgreSQL database that logs traffic sign events and violations, and a user-friendly driver dashboard built with React that provides visual cues and audio alerts to drivers. The process Starts by capturing images of traffic signs, enriched with important metadata like the vehicle's ID, location, and speed. The backend system processes this data through the trained machine learning model, which promptly stores the recognized signs in a realtime_signs database. Drivers receive alerts for signs they are approaching, helping them stay informed and safe. To ensure accountability, we have implemented a mechanism that checks for potential violations such as running a stop sign or speeding after a brief delay of 10 seconds. If a violation occurs, it gets logged into a violations table, and drivers are immediately notified with alerts on their dashboard along with audio warnings. Our experimental results highlight the system's ability to reliably detect signs, accurately classify them, and quickly alert drivers about any violations, making it a promising solution for improving road safety.
Keywords	Traffic Sign Recognition, Deep Learning, Real-Time Violation Detection, Intelligent Transportation Systems, Driver Dashboard, CNN, Alert System.
Field	Computer
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-22
DOI	https://doi.org/10.71097/IJSAT.v16.i4.8335
Short DOI	https://doi.org/hbb8hh

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Traffic Sign Detection, Classification, and Violation Logging System for Intelligent Driver Assistance

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