Trends in Machine design Review Article

AI-Powered Face Detection and Recognition Using Machine Learning

  1. Saurabh Shandilya Department of Computer Engineering Poornima College of Engineering Jaipur
  2. Shubham Prajapati Department of Computer Engineering Poornima College of Engineering Jaipur
  3. Vishal Agrawal Department of Computer Engineering Poornima College of Engineering Jaipur
  4. Rahul Arora Department of Computer Engineering Poornima College of Engineering Jaipur
  5. Sohaib Nasir Department of Computer Engineering Poornima College of Engineering Jaipur

Abstract

These days, one of the biggest computer vision technologies is facial recognition. Face identification in computer vision, lighting position, and facial expression is always an extremely challenging issue. In real-time video pictures captured by a video camera, face recognition tracks specific objects. Put simply, it is a system tool that uses a still picture or video frame to automatically identify a person. In this research paper we use different different algorithm for face recognition like Viola-Jomes algorithm, PCA algorithm, KLT algorithm and Emgu CV. We can carry through the aforementioned procedures using a variety of strategies. The present work here depicts the details of various technologies which have been researched and discovered. Let us take an example of designing color filters that we use in cameras to make them more colorimetric.

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References (1)

  1. Liu Z, Wang Y. Face detection and tracking in video using dynamic programming. Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101). 1:53-56. doi:10.1109/icip.2000.900890
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