@inproceedings{a4216341ea8143d895863760bc98616a,
title = "Design of a Face Recognition Technique Based MTCNN and ArcFace",
abstract = "The current trend of automation and data sharing in manufacturing technologies and daily living is the 4th Industrial Revolution. Computer vision technology has permeated our daily lives as a result of advancements in artificial intelligence and processing capacity. We propose using the ArcFace model, which blends deep neural networks with multi-tasking convolutional neural networks (MTCNN). The coding procedure of the agglomeration neural network facilitates the dimension-appropriate encoding of images. Techniques aimed at enhancing face recognition{\textquoteright}s most distinctive characteristics. For the face recognition model to operate at peak efficiency, the facial recognition feature must integrate with finger gestures to control smart home activities, communicate with data, and link effortlessly to smart devices via IoT technology. We construct a facial recognition model utilizing an embedded Jetson Nano computer, a fingerprint scanning module, and a Raspberry Pi camera. The IoT smart home utilizes an embedded Raspberry Pi 3B + computer. The results indicate an approximate precision of 96\% and a processing speed of 16 FPS. The interface of an Internet of Things (IoT) smart house illustrates the successful execution of real-time functionalities.",
keywords = "Artificial intelligence (AI), Computer vision, Face recognition, Gesture recognition, IoT, Smart home",
author = "Viet, \{Dang Thai\} and \{Van Thien\}, Phan and Tu, \{Nguyen Huu\} and Minh, \{Hoang Gia\} and Bui, \{Ngoc Tam\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2022 ; Conference date: 10-11-2022 Through 13-11-2022",
year = "2024",
doi = "10.1007/978-3-031-57460-3\_8",
language = "English",
isbn = "9783031574597",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "71--78",
editor = "Long, \{Banh Tien\} and Kozo Ishizaki and Kim, \{Hyung Sun\} and Yun-Hae Kim and Toan, \{Nguyen Duc\} and Minh, \{Nguyen Thi Hong\} and \{Duc An\}, Pham",
booktitle = "Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022) - Volume 3",
}