Sistem Keamanan Untuk Otorisasi Pada Smart Home Menggunakan Pengenalan Wajah Dengan Library OpenCV

Moh Eki Riyadani, S. Subiyanto
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Abstract

As industrial 4.0 advances such as Internet of Things (IoT), Big Data, Cloud Computing , and Artificial Intelligent  (AI) has prompted reseachers to innovate in various fields, including security systems. The security system is an important issue due to rise of theft in a residence. A security system is needed for home authorizon to prevent the crime of theft. Security systems are built using facial recognition. The research proposes to develop a security system using facial recognition  based Raspberry Pi with Python programming and utilize the OpenCV. System testing includes training function testing, facial recognition function, image delevery function, decision-making function, and system performance testing, system performance for facial recognition is calculated using confusion matrix formula that produces 100% sensitivity, 13% specitificity, and 97% accuracy.  
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智能家庭授权的安全系统使用o输入库中的面部识别
随着物联网(IoT)、大数据、云计算、人工智能(AI)等工业4.0的发展,包括安保系统在内的各个领域的研究人员都在进行创新。由于住宅盗窃事件的增加,安全系统是一个重要的问题。为了防止盗窃犯罪,家庭管理需要一个安全系统。安全系统是通过面部识别建立的。本研究提出利用基于树莓派的面部识别,利用Python编程和OpenCV开发一个安全系统。系统测试包括训练功能测试、面部识别功能、图像传递功能、决策功能和系统性能测试,面部识别的系统性能使用混淆矩阵公式计算,产生100%的灵敏度、13%的特异性和97%的准确性。
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