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 ...

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 ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Emotion-Detection/ ─ test.py # Main script for webcam emotion detection ─ emotion_model.h5 # Pre-trained Mini-XCEPTION model ─ haarcascade_frontalface_default.xml # Face detection Haar cascade ─ ...

I propose to add a utility class named ObjectDetection under a new or existing module (e.g., objdetect) in OpenCV that simplifies the pipeline for: Running object detection using a provided model Many ...

Abstract: This study introduces a deep learning method for automatically detecting bone fractures with the YOLOv8 object detection model, developed to aid radiologists in accurately and efficiently ...

Tea leaf diseases are significant causes of reduced quality and yield in tea production. In the Yunnan region, where the climate is suitable for tea cultivation, tea leaf diseases are small, scattered ...