Improving Access Control Systems using Facial Recognition
Abstract
This paper investigates the optimization of access control systems through the integration of facial recognition technology, exploring the benefits of biometrics in relation to security and user experience. Addresses the vulnerabilities of RFID and the advantages of facial recognition, driven by advances in AI and computer vision. It proposes a hybrid system that integrates both technologies and their evaluation in a simulated environment, considering accuracy, speed and usability. It highlights the importance of ensuring security, privacy and mitigating bias in the application of technology.
Keywords:
Access Control, Facial Recognition, RFID, ESP32-CAM, Security, Computer Vision
References
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Dardari, D. et al. The future of ultra-wideband localization in RFID. In: IEEE. 2016 IEEE International Conference on RFID (RFID). 2016. P. 1–7.
Ross, A.; Jain, A. Information fusion in biometrics. Pattern recognition letters, Elsevier, v. 24, n. 13, p. 2115–2125, 2003.
Viola, P.; Jones, M. Rapid object detection using a boosted cascade of simple features. In: IEEE. PROCEEDINGS of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001. 2001. v. 1, p. i–i.
Zhang, K. et al. Joint face detection and alignment using multitask cascaded convolutional networks. IEEE signal processing letters, IEEE, v. 23, n. 10, p. 1499–1503, 2016.
Belhumeur, P. N.; Hespanha, J. P.; Kriegman, D. J. Eigen-faces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on pattern analysis and machine intelligence, IEEE, v. 19, n. 7, p. 711–720, 1997.
Schroff, F.; Kalenichenko, D.; Philbin, J. Facenet: A unified embedding for face recognition and clustering. In: PROCEEDINGS of the IEEE conference on computer vision and pattern recognition. 2015. P. 815–823.
Lewis, J.; Fowler, M. Microservices” martinfowler. com. Available: [link]. [Accessed: 7-Apr-2017], 2014.
Erdogmus, N.; Marcel, S. Spoofing in 2d face recognition with 3d masks and anti-spoofing with kinect. In: IEEE. 2013 IEEE sixth international conference on biometrics: theory, applications and systems (BTAS). 2013. P. 1–6.
Published
2024-11-27
How to Cite
SILVA, Pedro Lucas Martins da; RIZZETTI, Tiago Antonio.
Improving Access Control Systems using Facial Recognition. In: REGIONAL SCHOOL OF COMPUTER NETWORKS (ERRC), 21. , 2024, Rio Grande/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 189-191.
DOI: https://doi.org/10.5753/errc.2024.4563.
