USING DEEP LEARNING ALGORITHMS TO DETECT HUMAN EYES IN VIDEO IMAGES.

Authors

  • Dilshod Djabbarov
  • Muhammadmullo Asrayev
  • Xumora G‘oipova

Keywords:

machine learning, visual computing, deep neural networks, video data analysis, digital image processing, facial feature extraction, live video analysis, visual object detection

Abstract

Abstract. In today's fast-paced world, images have become one of the industries that help. This field has helped solve many of the services available in various fields, from surveillance to human-computer interaction. At the heart of this transformation is the problem of distinguishing between video frame problems and accurately detecting human eyes. This technology is the result of the development of interesting computer vision techniques and deep learning algorithms

 

References

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Published

2024-06-05

How to Cite

Djabbarov, D., Asrayev, M., & G‘oipova , X. (2024). USING DEEP LEARNING ALGORITHMS TO DETECT HUMAN EYES IN VIDEO IMAGES. The Descendants of Al-Fargani, 1(2), 291–295. Retrieved from http://al-fargoniy.uz/index.php/journal/article/view/381