INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
In modern urban environments, efficient traffic management is paramount for safety and optimization of transportation systems. The primary objective of this research is to develop a robust system capable of real-time detection and recognition of speed limit signs using deep learning methodologies. YOLO v8, renowned for its efficiency and accuracy in object detection tasks, serves as the core framework for our system. The YOLO v8-based detection algorithm effectively identifies speed limit signs across diverse scenarios, including challenging conditions such as variations in lighting, weather, and occlusions. By automating the speed sign detection process with YOLO v8, we enhance traffic safety, reduce accident risks, and improve overall traffic flow efficiency. In conclusion, our findings underscore the potential of deep learning, particularly YOLO v8, in revolutionizing traffic sign detection. The developed system holds promise for practical implementation in smart cities and transportation networks, offering tangible benefits for urban mobility and safety.
"Analysis And Prediction Of Air-Plane Price Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.649 - 655, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404090.pdf
Downloads:
000338174
Publication Details:
Published Paper ID: IJSDR2404090
Registration ID:210843
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 649 - 655
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn