Design of a smart doorbell for a leader’s office with availability status notification and visitor recognition features

Khac-Nguyen Nguyen, Chanh-Nghiem Nguyen, Huu-Danh Bui, Minh-Tuong Tran, Chanh-Nghia Lam, Q. Truong, H. Nguyen, Chi-Ngon Nguyen
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Abstract

Smart doorbells have become a critical component of smart homes and modern offices. However, a smart doorbell, particularly designed for a leader’s office, has not been introduced. In this study, a smart doorbell is developed for a leader’s office. The system includes an application that allows availability status notification on the doorbell module and voice communication with the visitor from inside the office based on a private Wi-Fi network without an Internet connection to prevent the leader from potential privacy and security issues. It also features a live video capture of the visitor with face recognition by implementing a MobileNet model. In training and testing this model, 1,549 free face images of 125 people were augmented to generate training, validation, and testing datasets of 9,185, 2,500, and 5,000 face images, respectively. An additional authentication testing dataset of 1,068 AI-generated face images was also used to evaluate the system’s False Acceptance Rate (FAR). A high confidence level of 0.945 was selected for the developed MobileNet model to obtain zero FAR and high accuracy, recall, and F-score values of 0.960, 0.960, and 0.978, respectively. Therefore, the proposed doorbell could be used for an office leader, showing potential use for biometric authentication.
领导办公室智能门铃的设计,具有可用状态通知和访客识别功能
智能门铃已经成为智能家居和现代办公室的重要组成部分。然而,专门为领导办公室设计的智能门铃还没有推出。本研究针对某领导办公室设计了一款智能门铃。该系统包括一个应用程序,可以在门铃模块上通知可用状态,并在没有互联网连接的情况下,通过专用Wi-Fi网络与办公室内的访客进行语音通信,以防止潜在的隐私和安全问题。它还通过实现MobileNet模型,对访问者进行面部识别的实时视频捕捉。在训练和测试该模型时,对125人的1549张自由人脸图像进行增强,分别生成9185张、2500张和5000张人脸图像的训练、验证和测试数据集。另外一个由1068张人工智能生成的人脸图像组成的身份验证测试数据集也被用来评估系统的错误接受率(FAR)。所开发的MobileNet模型选择0.945的高置信水平,得到的FAR为零,准确率、召回率和F-score值分别为0.960、0.960和0.978。因此,提议的门铃可以用于办公室领导,显示生物识别认证的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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