Browsing DEPARTMENT OF SOFTWARE ENGINEERING by Subject "YOLOv8"

Now showing items 1-4 of 4

Automatic Number Plate Detection with Image Recognition System

Ahamed, Sabbir (Daffodil International University, 2025-11-30)

ANPR systems are very important fo traffic system safe and under control.To make these systems work well, you need to make models that are both quick and correct.This study examines the application of YOLOv8, a contemporary ...
A Data-Centric Approach to High-Accuracy Traffic Sign Detection Using an Optimized YOLOv8 Model

Basak, Piyash (Daffodil International University, 2025-12-30)

In the burgeoning universe of self-driving cars and intelligent driver-assistance systems, nothing is more important than safety. For the safety of these vehicles, they need to be able to look at a traffic sign and understand ...
Deep Learning Based Instance Segmentation of Leaf diseases

Hossain, Shoaib (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-19)

Crop disease is a significant issue for Bangladesh's economy, but it can be prevented with early detection. This thesis proposes a deep learning-based instance segmentation technique for detecting 10 of the most common ...
Smart Traffic Signal Control for Dynamic Traffic Management and Emergency Vehicle Prioritization

Saim, Abu (Daffodil International University, 2025-12-30)

This thesis presents an intelligent traffic monitoring framework using YOLOv8 for realtime detection is proposed. This framework utilizes both traffic videos from UADETRAC and an emergency vehicle dataset to provide enhanced ...

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