# A Vision-Based System: Detecting Traffic Law Violation Case Study of Red-Light Running Using Pre-Trained YOLOv8 Model and OpenCV

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-vision-based-system-detecting-traffic-law-violation-case-study-of-red-light/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hanif Fakhrurroja,Ahda Arif Fashihullisan,Harry Bangkit,Dita Pramesti,Nanang Ismail,Novan Agung Mahardiono |
| Citations | 9 |
| DOI | 10.1109/icsmech62936.2024.10812324 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405907620 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Dita Pramesti](https://scholariq.org/researchers/dita-pramesti/)

## Paper primary topic

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

## Paper topics

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.