To resolve this issue, we propose a vehicle detection system and counting framework. In the proposed vehicle detection and counting system we uses Yolov3 for vehicle detection and …

This research aims to create a simple vehicle counting system to help people count vehicles entering on the parking lot. Vehicle detection solutions for traffic management and parking …

Jan 25, 2022 · In this paper, various Artificial Intelligence tools and their applications for vehicle detection and counting have been analysed and elaborated. For vehicle detection, used deep …

Dec 30, 2019 · We implemented surface extraction and segmentation using image processing methods, such as Gaussian mixture modelling, which enables better vehicle detection results …

Leveraging state-of-the-art machine learning models, particularly Convolutional Neural Networks (CNNs), the system processes live video streams from strategically positioned cameras to …

In this paper YOLOv8 deep learning model is proposed for vehicle detection, classification, and counting for urban traffic surveillance applications on custom dataset. The model was trained …

Therefore, we propose to perform data annotation and transfer learning from an existing model to construct a new model for vehicle detection and counting in the real world urban traffic scenes. …

To resolve this issue, we propose a vehicle detection system and counting framework. In the proposed vehicle detection and counting system we uses Yolov3 for vehicle detection and …

This project focuses on developing a vehicle detection system using OpenCV, a real-time computer visionlibrary in Python. The project aims to create a vehicle counting and detection …

Nov 2, 2021 · To increase vehicle counting and classification problems in real-time traffic monitoring, this study presents a real-time traffic monitoring system based on a virtual …