The objective is to develop and experiment with solutions to automate and dynamizethe billing system in the mess areas of the institute. This project aims to replace the current billingsystem (semester-based) with a dynamic system that bills students per meal. We used a Faceverification system to realize the above-stated objectives
@InProceedings{Deng_2019_CVPR,
author = {Deng, Jiankang and Guo, Jia and Xue, Niannan and Zafeiriou, Stefanos},
title = {ArcFace: Additive Angular Margin Loss for Deep Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
@ARTICLE{9116942, author={Ou, Wei-Feng and Po, Lai-Man and Zhou, Chang and Zhang, Yu-Jia and Feng, Li-Tong and Rehman, Yasar Abbas Ur and Zhao, Yu-Zhi}, journal={IEEE Access}, title={LinCos-Softmax: Learning Angle-Discriminative Face Representations With Linearity-Enhanced Cosine Logits}, year={2020}, volume={8}, number={}, pages={109758-109769}, doi={10.1109/ACCESS.2020.3002270}}
@misc{wang2019misclassified,
title={Mis-classified Vector Guided Softmax Loss for Face Recognition},
author={Xiaobo Wang and Shifeng Zhang and Shuo Wang and Tianyu Fu and Hailin Shi and Tao Mei},
year={2019},
eprint={1912.00833},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{InsightFace\_Pytorch,
author = {TreB1eN},
title = {InsightFace\_Pytorch},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/TreB1eN/InsightFace_Pytorch}},
commit = {350ff7aa9c9db8d369d1932e14d2a4d11a3e9553}
}