46e69c28-dfaf-401b-9685-b1e4bb2a822d beie director@blueeyesintelligence.org 10.35940/ijrte.E7970.12050124 10.1109/ISCC.2012.6249269Soyata, Tolga, et al. "Cloud-vision: Real-time face recognition using a mobile-cloudletcloud acceleration architecture." 2012 IEEE symposium on computers and communications (ISCC). IEEE, 2012. https://doi.org/10.1109/ISCC.2012.6249269T. Schenkel, O. Ringhage, N. Branding," A COMPARATIVE STUDY OF FACIAL RECOGNITION TECHNIQUES With a focus on low computational power", 2019.10.1111/irv.12740X. Liu, S. Zhang, COVID-19: Face masks and human-to-human transmission, Influenza Other Respirat. Viruses, vol. n/a, no. n/a, doi: 10.1111/irv.12740 https://doi.org/10.1111/irv.1274010.1177/0020294020932344L. Wang, A. A. Siddique," Facial recognition system using LBPH face recognizer for anti-theft and surveillance application based on drone technology", Measurement and Control (2020), Vol. 53(7-8), pp. 1070-1077, doi: 10.1177/0020294020932344 https://doi.org/10.1177/0020294020932344"Paris Tests Face-Mask Recognition Software on Metro Riders," Bloomberg.com, May 07, 202010.1016/j.jksuci.2021.12.017Ullah, Naeem, et al. "A novel DeepMaskNet model for face mask detection and masked facial recognition." Journal of King Saud University-Computer and Information Sciences (2022). https://doi.org/10.1016/j.jksuci.2021.12.01710.1109/INDICON49873.2020.9342585Das, M. Wasif Ansari, R. Basak, Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV, 2020 IEEE 17th India Counc. Int. Conf. INDICON 2020. (2020). https://doi.org/10.1109/INDICON49873.2020.9342585Joshi AS, Joshi SS, Kanahasabai G, Kapil R, Gupta S. Deep learning framework to detectface masks from video footage. In2020 12th International Conference on computational intelligence and Communication Networks (CICN) 2020 Sep 25 (pp. 435-440). IEEE.10.1016/j.smhl.2020.100144A. Cabani, K. Hammoudi, H. Benhabiles, M. Melkemi, MaskedFaceNet - A dataset of correctly/incorrectly masked face images in the context of COVID-19, Smart Heal. 19 (2021) 100144. https://doi.org/10.1016/j.smhl.2020.100144.10.1109/ICRAIE.2016.7939462D. Meena and R. Sharan, "An approach to face detection and recognition," 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, 2016, pp. 1-6, doi: 10.1109/ICRAIE.2016.7939462. https://doi.org/10.1109/ICRAIE.2016.793946210.1109/CVPR.2017.53S. Ge, J. Li, Q. Ye, and Z. Luo, "Detecting Masked Faces in the Wild with LLE-CNNs," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017, pp. 426-434, doi: 10.1109/CVPR.2017.53. https://doi.org/10.1109/CVPR.2017.5310.1016/j.patcog.2019.04.009S. Ghosh, N. Das, and M. Nasipuri, "Reshaping inputs for a convolutional neural network: Some common and uncommon methods", Pattern Recognition, vol. 93, pp. 79-94, 2019. Available: 10.1016/j.patcog.2019.04.009. https://doi.org/10.1016/j.patcog.2019.04.009CASIA dataset: https://github.com/SamYuen101234/Masked_Face_Recognition10.1007/978-3-319-46448-0_2Liu, Wei, et al. "Ssd: Single shot multi-box detector." European conference on computer vision. Springer, Cham, 2016. https://doi.org/10.1007/978-3-319-46448-0_2FaceNet Pretrained Model: https://github.com/davidsandberg/facenetMandal, Bishwas, Adaeze Okeukwu, and Yihong Theis. "Masked face recognition using resnet-50." arXiv preprint arXiv:2104.08997 (2021).Dlib: https://github.com/davisking/dlibOpenCV: https://github.com/opencv/opencv10.1609/aaai.v31i1.11231Szegedy, Christian, et al. "Inception-v4, inception-resnet and the impact of residual connections on learning." Thirty-first AAAI conference on artificial intelligence. 2017. https://doi.org/10.1609/aaai.v31i1.1123110.1109/CVPR.2015.7298682Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015. https://doi.org/10.1109/CVPR.2015.729868210.1109/ICASERT.2019.8934543Ejaz, Md Sabbir, et al. "Implementation of principal component analysis on masked and non-masked face recognition." 2019 1st international conference on advances in science, engineering, and robotics technology (ICASERT). IEEE, 2019. https://doi.org/10.1109/ICASERT.2019.8934543Wang, Zhongyuan, et al. "Masked face recognition dataset and application." arXiv preprint arXiv:2003.09093 (2020).10.35940/ijrte.C5516.098319P, B., & Geetha D, D. M. (2019). Design and Experimentation of Face liveliness Detection using Temperature Gradient and Image Quality Assessment. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 3, pp. 4360-4362). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijrte.c5516.09831910.35940/ijeat.D7308.049420Begum, N., & Mustafa, A. S. (2020). CNN BLSTM Joint Technique on Dynamic Shape and Appearance of FACS. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 4, pp. 1754-1757). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijeat.d7308.04942010.35940/ijies.H0958.025820A., O., & O, B. (2020). An Iris Recognition and Detection System Implementation. In International Journal of Inventive Engineering and Sciences (Vol. 5, Issue 8, pp. 8-10). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijies.h0958.02582010.54105/ijdcn.B3923.082522P A, J., & N, A. (2022). Faceium-Face Tracking. In Indian Journal of Data Communication and Networking (Vol. 2, Issue 5, pp. 1-4). Lattice Science Publication (LSP). https://doi.org/10.54105/ijdcn.b3923.08252210.54105/ijainn.B1027.061321Kumari, J., Patidar, K., Saxena, Mr. G., & Kushwaha, Mr. R. (2021). A Hybrid Enhanced Real-Time Face Recognition Model using Machine Learning Method with Dimension Reduction. In Indian Journal of Artificial Intelligence and Neural Networking (Vol. 1, Issue 3, pp. 12-16). Lattice Science Publication (LSP). https://doi.org/10.54105/ijainn.b1027.061321