Sensor Integration and Facial Recognition Deployment in a Smart Home System

2022 ◽  
pp. 759-771
Author(s):  
Vandana Ravishankar ◽  
Vishak Vinod ◽  
Tarun Kumar ◽  
Kriti Bhalla
Keyword(s):  
Smart Home ◽  
Facial Recognition ◽  
Sensor Integration

scholarly journals Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone

2021 ◽  
Vol 15 (24) ◽  
pp. 32-48
Author(s):  
Yen Xin Tok ◽  
Norliza Katuk ◽  
Ahmad Suki Che Mohamed Arif
Keyword(s):  
Smart Home ◽  
Facial Recognition ◽  
Security System ◽  
Primary Concern ◽  
Application Development ◽  
Home Security ◽  
Voice Control ◽  
One Time Password ◽  
Home Technology ◽  
Smart Home Technology

Recently, the adoption of smart home technology has been on the rise and becoming a trend for home residents. The development of Internet-of-Things (IoT) technology drives the smart home authentication system with biometric systems such as facial recognition, fingerprint, and voice control techniques. In the context of homeowners, security is always the primary concern. However, conventional home security and the existing smart home security system have some limitations. These techniques use single-factor authentication, which provides limited protection for home security. Therefore, this project proposed a design for smart home multi-factor authentication using facial recognition and a one-time password sent to smartphones for a home security system. Rapid application development was the methodology for conducting this study. A usability evaluation suggested that the proposed smart home multi-factor authentication is acceptable, but some usability issues can be improved in the future. 

scholarly journals Some Aspects of Face Recognition: Models, Algorithms, Methods, Systems, Applications

2021 ◽  
Vol 4 (1) ◽  
pp. 79-95
Author(s):  
Oleksandr Tkachenko ◽  
Myroslav Boiko
Keyword(s):  
Face Recognition ◽  
Smart Home ◽  
Semantic Analysis ◽  
Facial Recognition ◽  
Subject Area ◽  
Theory And Practice ◽  
Digital Cameras ◽  
Existing Problems ◽  
Access Rights ◽  
Facial Images

The purpose of the article is to research, analyze and consider the general problems and prospects of using existing approaches to face recognition (areas of application, features and differences). The research methodology consists of semantic analysis methods of the basic concepts in this subject area (theory and practice of pattern recognition, in particular, facial images). The article considers the existing approaches to the development of systems for face recognition. The novelty of the research is the solution of facial recognition problems to determine access rights and authentication. Conclusions. The existing problems analyzed and the prospects for using facial recognition algorithms are becoming more accurate. Facial recognition has become an important part of artificial intelligence because it is used in social media, digital cameras and smart home automation.

scholarly journals Smart Home Crawler : Towards a framework for semi-automatic IoT sensor integration

2019 ◽  
Author(s):  
Martin Strohbach ◽  
Luis Adan Saavedra ◽  
Pavel Smirnov ◽  
Stefaniia Legostaieva
Keyword(s):  
Smart Home ◽  
Sensor Integration

Perceptual Effects and Recollective Experience in Face Recognition

2005 ◽  
Vol 52 (3) ◽  
pp. 224-231 ◽  
Author(s):  
Chrisanthi Nega
Keyword(s):  
Face Recognition ◽  
Recognition Memory ◽  
Congruency Effect ◽  
Facial Recognition ◽  
Memory Systems ◽  
Study Time ◽  
Perceptual Fluency ◽  
Recollective Experience ◽  
Trace Strength ◽  
Size Congruency

Abstract. Four experiments were conducted investigating the effect of size congruency on facial recognition memory, measured by remember, know and guess responses. Different study times were employed, that is extremely short (300 and 700 ms), short (1,000 ms), and long times (5,000 ms). With the short study time (1,000 ms) size congruency occurred in knowing. With the long study time the effect of size congruency occurred in remembering. These results support the distinctiveness/fluency account of remembering and knowing as well as the memory systems account, since the size congruency effect that occurred in knowing under conditions that facilitated perceptual fluency also occurred independently in remembering under conditions that facilitated elaborative encoding. They do not support the idea that remember and know responses reflect differences in trace strength.

Design and Application of Smart and Electrical Wheelchair and Charging Station for the Disabled Citizen

2020 ◽  
Vol 3 (1) ◽  
pp. 346-353
Author(s):  
Naim Suleyman Tinğ ◽  
Huseyin Ozel ◽  
Lokman Celik ◽  
Enes Ganidagli ◽  
Hilal Akkamis
Keyword(s):  
Smart Home ◽  
Touch Screen ◽  
Direct Access ◽  
Charging Station ◽  
The Disabled ◽  
Solar Powered ◽  
Home Technology ◽  
Smart Home Technology ◽  
Smart Wheelchair ◽  
Design And Application

In this paper, the design and application of smart wheelchair and charging station for disabled citizen is realized. The first stage of the paper is to make the wheelchair used by our disabled citizens able to access smart home technology via the vehicle via touch screen. The ability of citizens with disabilities to call with direct access via touch screen is also in the wheelchair designed. Thanks to the touch screen placed on the vehicle, disabled citizens are provided with the control of smart automation to control many objects such as curtains and doors in the home. In the second part of the paper, a solar powered charging station is designed and installed in order to charge battery powered wheelchairs. In the charging station made a special card reader system and has the charger to charge the card with disabilities to actively and means are provided.

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