基于云计算的人脸和语音识别应用于门禁控制应用（CS CV）---刘持诚

本文介绍了一种通过人脸图像和语音文字识别来识别想要进入实体办公室的员工和访客的系统应用。该系统通过人脸识别帮助员工解锁入口门，不需要标签钥匙或卡片。为了防止恶意攻击，提高安全性，系统会将随机生成的密码发送给员工，然后员工需要在屏幕上输入密码。另一方面，来访者和送餐员提供语音转文字服务，来访者和送餐员说出要见的员工的名字，系统就会自动向合适的员工发送通知。该系统的硬件由两台树莓派（微型电脑）、一个7英寸 LCD 触控显示屏、一个摄像头、一个带麦克风和扬声器的声卡组成。为了进行人脸识别和语音转文字的转换，分别使用了云端平台 Amazon Web Services 和 Google Speech-to-Text API 服务。员工的两步人脸认证机制，无需携带钥匙扣或门禁卡，提高了安全防护等级，避免了欺骗性攻击；与此同时，系统通过铃铛通知到合适的员工，在不打扰其他同事的情况下，最大限度地减少了来自访客或快递员的干扰。

原文题目：Cloud-Based Face and Speech Recognition for Access Control Applications

原文：This paper describes the implementation of a system to recognize employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition. The system helps employees to unlock the entrance door via face recognition without the need of tag-keys or cards. To prevent spoofing attacks and increase security, a randomly generated code is sent to the employee, who then has to type it into the screen. On the other hand, visitors and delivery persons are provided with a speech-to-text service where they utter the name of the employee that they want to meet, and the system then sends a notification to the right employee automatically. The hardware of the system is constituted by two Raspberry Pi, a 7-inch LCD-touch display, a camera, and a sound card with a microphone and speaker. To carry out face recognition and speech-to-text conversion, the cloud-based platforms Amazon Web Services and the Google Speech-to-Text API service are used respectively. The two-step face authentication mechanism for employees provides an increased level of security and protection against spoofing attacks without the need of carrying key-tags or access cards, while disturbances by visitors or couriers are minimized by notifying their arrival to the right employee, without disturbing other co-workers by means of ring-bells.

原文作者：Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez

原文地址：https://arxiv.org/abs/2004.11168