计算机安全
计算机科学
锁(火器)
生物识别
认证(法律)
鉴定(生物学)
面子(社会学概念)
互联网隐私
面部识别系统
钥匙(锁)
人机交互
人工智能
工程类
模式识别(心理学)
生物
社会学
机械工程
植物
社会科学
作者
Nagasree Y Lakshmi Venkata,Ch. Rupa,B Dharmika,Teja G Nithin,N. Vineela
标识
DOI:10.1109/rteict52294.2021.9573869
摘要
The rapid growth of technology in the modern society has raised many questions on the terms like security and privacy. Due to the evolution in the technology and industrialization the terms like security and privacy has become imperative for a common person. Authentication is a key factor which helps for the identification of authorized people and helps in eradicating fraudulent activities, robberies, and many other social crimes. Most of the crimes are due to the vulnerabilities in the door locking systems which can be easily accessible by the outsiders. Though there are solutions like smart doorbells and video streaming, which have limitations like heavy cost, complex and have loopholes in the security issues. To diminish the limitations and to enhance the security Smart door unlock systems using face recognition is proposed. The proposed system consists of a camera sensor popularly known as esp32-cam for storing the pictures of persons and for live streaming. The proposed system recognizes the face of the person standing in front of the door with the help AI-Thinker in the esp32-cam. The face of the person is compared with the faces of the authorized persons which are stored in the SD card of esp32-cam. If the person is an authorized person then the door gets unlocked which can be achieved with the hardware component solenoid lock. If the person is an unauthorized person then the door will be locked. The proposed system helps in adapting from traditional mechanical lock methods to enhanced security methods. It also helps in case of losing keys and helpful for disabled persons with easier access.
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