TY - GEN
T1 - Low cost smart house implementation with sensory information analysis and face recognition
AU - Zhilibayev, Serik
AU - Ziyashev, Aibek
AU - Zhelambayeva, Altyn
AU - Yessembayev, Aidar
AU - Yazici, Adnan
AU - Ever, Enver
N1 - Funding Information:
ACKNOWLEDGMENT This work was funded by NU Faculty-development competitive research grants program, Nazarbayev University, Grant Number-110119FD4543. We would like to thank the researchers in multimedia lab NU for their contributions.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - A smart house prototype is presented in this study with home automation, safety, person identification and automatic notifications. Home automation is implemented using light sensor and actuators in the house such as LEDs and servo motors (for window control). Safety system is implemented using gas, humidity, and human infrared sensors that collect the data from the environment. The system developed allows the users to control actuators remotely, view environmental sensor readings and real-time video streaming using user-friendly web and mobile applications. The readings of environmental sensors are analyzed on the server for gas and water leak and potential intrusion using gas, humidity and human infrared sensors. Furthermore, a face recognition system is also incorporated to the smart home prototype which identifies whether the person is a resident of the house or an unknown person. An automatic notification system which uses the Telegram Bot, notifies the user in case an unknown person enters the house or if the system detects emergencies. Telegram Bot also provides options to the user for further actions.
AB - A smart house prototype is presented in this study with home automation, safety, person identification and automatic notifications. Home automation is implemented using light sensor and actuators in the house such as LEDs and servo motors (for window control). Safety system is implemented using gas, humidity, and human infrared sensors that collect the data from the environment. The system developed allows the users to control actuators remotely, view environmental sensor readings and real-time video streaming using user-friendly web and mobile applications. The readings of environmental sensors are analyzed on the server for gas and water leak and potential intrusion using gas, humidity and human infrared sensors. Furthermore, a face recognition system is also incorporated to the smart home prototype which identifies whether the person is a resident of the house or an unknown person. An automatic notification system which uses the Telegram Bot, notifies the user in case an unknown person enters the house or if the system detects emergencies. Telegram Bot also provides options to the user for further actions.
KW - Automatic notification
KW - Automation
KW - IoT
KW - Person identification
KW - Safety
KW - Sensors and actuators
KW - Smart house
UR - http://www.scopus.com/inward/record.url?scp=85084090711&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084090711&partnerID=8YFLogxK
U2 - 10.1109/KST48564.2020.9059401
DO - 10.1109/KST48564.2020.9059401
M3 - Conference contribution
AN - SCOPUS:85084090711
T3 - KST 2020 - 2020 12th International Conference on Knowledge and Smart Technology
SP - 91
EP - 96
BT - KST 2020 - 2020 12th International Conference on Knowledge and Smart Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Knowledge and Smart Technology, KST 2020
Y2 - 29 January 2020 through 1 February 2020
ER -