Abstract: This research provides a novel approach in the field of object detection through the use of OpenCV and Python programming and solves the difficulties with the conventional approach, as the ...

This project provides a desktop GUI for real-time object detection using OpenCV, Tkinter, and pyttsx3. The app displays your webcam feed, draws bounding boxes around detected objects, and announces ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

We summarize our contributions as follows: • The proposed approach integrates cutting-edge deep learning models, such as Vision Transformers and pre-trained frameworks, with big data analytics to ...

A web-based application for real-time object tracking using YOLOv8 and FastAPI. This project provides a user-friendly interface for uploading and processing videos with state-of-the-art object ...

Existing object detection models often struggle to achieve high accuracy in detecting tea leaf diseases. To address these challenges, this paper proposes a tea leaf disease detection model, BRA-YOLOv7 ...