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The use of smart cameras is becoming more and more necessary for various security and monitoring purposes. However, the processing required for face recognition in real time now makes it impossible to integrate the complete software onto a small-sized camera. A simple and efficient methodology was used in the development of the Real-Time Face Monitoring and Recognition for Surveillance System given in this study work in order to meet the handling criteria and enable reliable and precise face identification. The main goal of the proposed system is to make it possible to track and identify numerous individuals in a video stream. This provides a centralized, cost-effective, and dependable way to secure public and commercial areas. The proposed system aims to reduce the risk of misclassification, remove detection redundancy, provide large processing capacity, and run within an appropriate computational budget.

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Analysis on Using Eigen-Face Feature of Viola Jones, a Remarkable and Suitable Face Recognition Authentication System

  • 会议论文

  • 发表日期：

    2025年

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  • Katragadda Anuhya,
  • Lal Bahadur Pandey,
  • J. Sushmitha,
  • G. Vinesh Shanker,
  • Perumal Senthil,
  • G. Venkata Lakshmi

摘要

The use of smart cameras is becoming more and more necessary for various security and monitoring purposes. However, the processing required for face recognition in real time now makes it impossible to integrate the complete software onto a small-sized camera. A simple and efficient methodology was used in the development of the Real-Time Face Monitoring and Recognition for Surveillance System given in this study work in order to meet the handling criteria and enable reliable and precise face identification. The main goal of the proposed system is to make it possible to track and identify numerous individuals in a video stream. This provides a centralized, cost-effective, and dependable way to secure public and commercial areas. The proposed system aims to reduce the risk of misclassification, remove detection redundancy, provide large processing capacity, and run within an appropriate computational budget.