Paper Title
Realtime Object Detection
Article Identifiers
Authors
Mohd Kasib Siddiqui , Mohd Asad
Keywords
YOLOv3, OpenCV, Object Detection, Darknet, Machine Learning
Abstract
The objective of this machine learning (ML) project is to develop a system that can detect objects in real-time using the YOLO (You Only Look Once) algorithm and the OpenCV (Open Source Computer Vision) library, and save the images of the detected objects. The system will be built using Python programming language. The project will start by installing and setting up the necessary libraries, including YOLO, OpenCV, and NumPy. Next, the system will use the YOLO algorithm to detect objects in the frames captured by the webcam. YOLO is an object detection algorithm that is highly accurate and efficient, making it an ideal choice for this project. Once an object is detected, the system will use OpenCV to draw a bounding box around it and save the image of the object to the local file system. To ensure that the system can detect a wide range of objects, the YOLO algorithm will be trained on a COCO dataset of annotated images. The training dataset will include a variety of objects such as animals, vehicles, and household items. This project can have practical applications in various fields, such as security, surveillance, and object recognition.
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How To Cite (APA)
Mohd Kasib Siddiqui & Mohd Asad (May-2023). Realtime Object Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e436-e444. https://ijnrd.org/papers/IJNRD2305452.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : e436-e444
Other Publication Details
Paper Reg. ID: IJNRD_195613
Published Paper Id: IJNRD2305452
Downloads: 000121979
Research Area: Computer Science & TechnologyÂ
Country: Lucknow, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305452.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305452
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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