Real-Time Vehicle Detection and Traffic Density Estimation with Optimized Computational Efficiency

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Hardhik Sai Palivela; Aaditya Gawali; Dr.R.Annie Uthra

Real-Time Vehicle Detection and Traffic Density Estimation with Optimized Computational Efficiency

Authors: Hardhik Sai Palivela, Aaditya Gawali, Dr.R.Annie Uthra

Unique Paper ID: 177125
Volume: 11
Issue: 12
PageNo: 211-216

Keywords: Traffic Supervision Machine learning YOLOv8 Computer vision

Abstract:
There has been a dramatic change in the way traffic can be observed and controlled due to computer vision and machine learning in the recent past. Here, the focus would be on the creation and applicability of an intelligent traffic supervision system utilizing machine learning and computer vision. This system operates with the aim to provide real-time autonomous detection, classification and tracking of vehicles, identifying traffic rule infractions, and managing traffic congestion automatically. Fusing Artificial Intelligence such as Convolutional Neural Networks (CNN) aimed at recognizing objects and sharing videos helps the system increase the safety of the road while minimizing gridlock on the roads. In addition, it improves management practices by minimizing costs related to preparation of traffic reports, accidents, and infringements of road traffic order. This type of solution provides an economical, efficient and scalable option for monitoring traffic activities and has the likely impact to improve inner city traffic monitoring.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 211-216

Real-Time Vehicle Detection and Traffic Density Estimation with Optimized Computational Efficiency

Available:https://ijirt.org/article?manuscript=177125

20 Dec, 2024

Advancements in Pneumonia Detection Using U-Net

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now