SafeStreets: Deep Learning-Based Real-Time Traffic Violation Detection System

Event-level illegal parking detection using YOLOv8 and SSD models

Unauthorized parking in urban areas results in traffic congestion and leads to the inefficient use of road infrastructure. This study presents an event-level illegal parking detection framework that combines deep learning–based object detection with region-based temporal logic to distinguish transient stops from actual...

A unified real-time framework for helmet and red-light violation detection in motorcycle-dominant traffic

Traffic surveillance in motorcycle-dominant urban settings presents unique challenges that single-task detection systems have struggled to resolve. This paper describes a framework that jointly addresses helmet non-compliance and red-light violations within a single runtime, without requiring separate model pipelines....

AI-Based Traffic Violation Detection System Using Computer Vision

The developed and implementation of an AI-based traffic violation detection system designed to automate the monitoring of road traffic violations using CCTV footage and computer vision techniques provides a practical and innovative solution to contemporary traffic violation control and management challenges.

Road Accident Detection and Alert System using Deep Learning and Computer Vision

An enhanced YOLOv8-based framework for real-time traffic accident detection in dynamic road environments

An effective real-time traffic accident detection framework based on YOLOv8 that can be implemented in intelligent transportation systems, traffic surveillance platforms, and advanced driver assistance applications is proposed.

A Deep Learning-Based Traffic Violation Detection System with Conditional Number Plate Recognition for Helmet Compliance Monitoring

An automated system based on deep learning is suggested to observe the violation of the helmet and the intelligent monitoring of the traffic, which facilitates its use in computerized traffic enforcing systems.