TY - GEN
T1 - IoT Enabled Smart Security Framework for 3D Printed Smart Home
AU - Xu, Zhihan
AU - Ansari, Shuja
AU - Abdulghani, Amir M.
AU - Imran, Muhammad Ali
AU - Abbasi, Qammer H.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Recently, smart home design using Internet of Things (IoT) technology has become a growing industry. Since security is the most important element of the smart home design, the project aims to design a 3D printed smart home with a focus on the security features that would meet the security design of futuristic real homes. The surveillance system of traditional smart home is separated from the door lock system. This project innovatively integrates and coordinates them through the facial recognition algorithms, which forms the entry system of this design. The overall system can be divided into two subsystems (parts), which are the sensing and actuation system (PART I) and the entry system (PART II). PART I includes various sensors and actuators to ensure the security of home, including combustible gas sensor, air quality sensor and temperature humidity sensor. When anomalies are detected by sensors, actuators such as ventilator, buzzer and LEDs start to work. In PART II, the PIR motion sensor is utilized to detect the person to activate the facial recognition step. Facial recognition algorithm (LBPH algorithm) is implemented for person classification, which is used in selecting the duration of recording for the surveillance system. The surveillance system could select not to record for the occupants or different levels of recording for each occupant based on the confidence of recognition. The project outcomes a 3D printed smart home with a door lock system, a surveillance system, and a sensing actuation network, which accomplishes the security features in perception and network layer of IoT system design.
AB - Recently, smart home design using Internet of Things (IoT) technology has become a growing industry. Since security is the most important element of the smart home design, the project aims to design a 3D printed smart home with a focus on the security features that would meet the security design of futuristic real homes. The surveillance system of traditional smart home is separated from the door lock system. This project innovatively integrates and coordinates them through the facial recognition algorithms, which forms the entry system of this design. The overall system can be divided into two subsystems (parts), which are the sensing and actuation system (PART I) and the entry system (PART II). PART I includes various sensors and actuators to ensure the security of home, including combustible gas sensor, air quality sensor and temperature humidity sensor. When anomalies are detected by sensors, actuators such as ventilator, buzzer and LEDs start to work. In PART II, the PIR motion sensor is utilized to detect the person to activate the facial recognition step. Facial recognition algorithm (LBPH algorithm) is implemented for person classification, which is used in selecting the duration of recording for the surveillance system. The surveillance system could select not to record for the occupants or different levels of recording for each occupant based on the confidence of recognition. The project outcomes a 3D printed smart home with a door lock system, a surveillance system, and a sensing actuation network, which accomplishes the security features in perception and network layer of IoT system design.
KW - 3D printing
KW - Internet of Things
KW - security features
KW - sensors and actuators
KW - smart home design
UR - http://www.scopus.com/inward/record.url?scp=85091970892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091970892&partnerID=8YFLogxK
U2 - 10.1109/SmartIoT49966.2020.00026
DO - 10.1109/SmartIoT49966.2020.00026
M3 - Conference contribution
AN - SCOPUS:85091970892
T3 - Proceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020
SP - 117
EP - 123
BT - Proceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020
Y2 - 14 August 2020 through 16 August 2020
ER -