INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The use of airborne vehicles like drones has increased with technical improvement. Undoubtedly, drones are a fantastic addition to surveillance, weather monitoring, traffic monitoring, firefighting, and many other fields. However, there is a flip side to this: as drones become more widely used, the risk of them being mishandled rises. To stop uninvited and unwanted drone interventions, automated drone detection is required. In this work, we looked into how to identify and categorize drones in aerial pictures and videos using the YOLOv8 object detection technique. I utilized a dataset of several drone photos and videos for this, and I trained the model using that dataset.
Keywords:
Object Detection , deep learning , YOLOv8
Cite Article:
"Drone Surveillance using YOLOv8 Object Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i218-i223, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305829.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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