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)
This paper examines the role of computer vision in enhancing machines’ interaction with visual data. Utilizing Python, the study presents applications such as face, motion, mask, and vehicle detection. The methodology involved data collection and model training using datasets like FDDB and KITTI. Results showed high accuracy rates: 95% for face detection, 99.2% for vehicle detection, and 90% for mask detection. The paper suggests future research to improve model robustness and explore new sensor technologies, underscoring computer vision’s growing impact on daily life.
Keywords:
Computer Vision, OpenCV, Tensorflow, Detection
Cite Article:
"STUDY ON UNDERSTANDING COMPUTER VISION APPLICATIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.j15-j28, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404903.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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