Face Recognition Systems - Performance and Privacy: Analyzing performance and privacy considerations in face recognition systems, including accuracy, robustness, and ethical implications

Authors

  • Dr. Veronica Murillo Associate Professor of Computer Science, Tecnológico de Costa Rica (TEC) Author

Keywords:

Surveillance, Security

Abstract

Face recognition systems have gained significant attention due to their wide range of applications in security, surveillance, and personalization. However, concerns regarding their performance and privacy implications have also surfaced. This paper provides a comprehensive analysis of the performance metrics and privacy considerations in face recognition systems. We examine the accuracy and robustness of these systems, highlighting the challenges and advancements in achieving high-performance levels. Additionally, we discuss the ethical implications and privacy concerns associated with the use of face recognition technology. By understanding these aspects, stakeholders can make informed decisions regarding the deployment and regulation of face recognition systems.

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References

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Published

2021-01-25

How to Cite

[1]
Dr. Veronica Murillo, “Face Recognition Systems - Performance and Privacy: Analyzing performance and privacy considerations in face recognition systems, including accuracy, robustness, and ethical implications”, Australian Journal of Machine Learning Research & Applications, vol. 2, no. 1, pp. 142–149, Jan. 2021, Accessed: Sep. 19, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/81

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