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  Published Paper Details:

  Paper Title

Face Detection in a video using Big Data tools and Computer Vision Techniques

  Authors

  RamaDevi Gunnam,  Suneetha Neerumalla,  Venkata Lakshmi Gayathri Pabbisetty,  Koteswara Rao Nadikoti,  Kahar Moula Shaik

  Keywords

Apache Spark, Big Data, Computer Vision, Deep Face, Face Detection, YOLOv8

  Abstract


Face detection, a process of identifying faces within video content, has traditionally faced limitations in precision. Leveraging big data techniques can enhance speed and efficiency. Employing Apache Spark, capable of running among several nodes simultaneously, facilitates the conversion of individual video frames into an analyzable format. Utilizing the YOLO Face Detection model, rooted in deep learning, enables the detection of faces within each frame. Deep Face will then be utilized to pinpoint the target face and extract all instances across multiple frames for monitoring purposes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403696

  Paper ID - 253582

  Page Number(s) - f815-f823

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.38541

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  RamaDevi Gunnam,  Suneetha Neerumalla,  Venkata Lakshmi Gayathri Pabbisetty,  Koteswara Rao Nadikoti,  Kahar Moula Shaik,   "Face Detection in a video using Big Data tools and Computer Vision Techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.f815-f823, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403696.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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