Open AccessHome Security and Automation Based on Internet of Things: A Comprehensive Review
Author(s) -
Saman Fatima,
Naila Aslam,
Iqra Tariq,
Nouman Ali
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/899/1/012011
Subject(s) - computer science , automation , interoperability , home automation , the internet , field (mathematics) , computer security , internet of things , data science , domain (mathematical analysis) , software engineering , world wide web , telecommunications , engineering , mechanical engineering , mathematical analysis , mathematics , pure mathematics
The current trends of research are focused on the use of the Internet of Things (IoT) for various real-time applications. IoT is a type of “universal global neural network” and very common because of its benefits in smart application trends over traditional communication trends. Information is now accessible much easily because of the internet and inexpensive. So security and automation become a need of every department and organization. The main objective of this study is to overcome the different face detection approaches in the IoT domain and their application in the automation of smart home devices. However, this review concludes the constraints and gaps of existing published work related to the current topic and point towards feasible future research directions. Furthermore, we have discussed possible challenges of large data processing, as well as communication and automation protocols by applying different sensors, other hardware, and their interoperability. Similarities and differences of various key factors are presented in tables in terms of the proposed model, technology, application, software, user interface, algorithm, hardware, and purpose, etc. In this study, we also discussed the pros and cons of various facial detection approaches and gaps of IoT in home automation. We suppose that this review will be a solid base for future researchers in the field of automation and facial detection in IoT.