Abstract
Automation systems are gaining popularity around the world. The use of these powerful technologies for home security has been proposed and some systems have been developed. Other implementations see the user taking a central role in providing and receiving updates to the system. We propose a system making use of an Android based smartphone as the user control point. Our Android application allows for dual factor (facial and secret pin) based authentication in order to protect the privacy of the user. The system successfully implements facial recognition on the limited resources of a smartphone by making use of the Eigenfaces algorithm. The system we created was designed for home automation but makes use of technologies that allow it to be applied within any environment. This opens the possibility for more research into dual factor authentication and the architecture of our system provides a blue print for the implementation of home based automation systems. This system with minimal modifications can be applied within an industrial application.
| Original language | English |
|---|---|
| Title of host publication | Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015 |
| Publisher | IEEE |
| Pages | 999-1004 |
| ISBN (Print) | 9781479966493 |
| DOIs | |
| Publication status | Published - 28 Sept 2015 |
| Event | 13th International Conference on Industrial Informatics (INDIN 2015) - Robinson College, Cambridge, United Kingdom Duration: 22 Jul 2015 → 24 Jul 2015 |
Conference
| Conference | 13th International Conference on Industrial Informatics (INDIN 2015) |
|---|---|
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 22/07/15 → 24/07/15 |
Research Keywords
- Authentication
- Biometrics
- Facial Recognition
- Internet-of-Things
- User Centric Automation