SECURED AUTOMATED LOGON FOR WINDOWS USING PRESENCE DETECTION

This report focuses on the research and development of a reliable automated logon and
logoff to Windows using tag presence detection and voice command. This project was
developed to overcome the common problem of unauthorized user who scrutinizes
other's personal computer by providing a more effective way for the large number of
computer users to logon and logoff automatically. The reader that had been setup shall
capture the movement of a tag. Each tag had been designed to be detected by each
personalized computer. The reader will capture the movement on real-time basis,
capturing the time and date of the logon or logoff process. To attend to security
concerns, voice recognition will be used in this project. The user is allowed to enter a
voice command through a microphone to logon and logoff. The project should be
reliable, speaker independent and has a low total hardware price tag. A noise reducing
headset is used to increase recognition accuracy. Implementation of this project is aimed
to introduce a new approach in logging on and off personal computers, yet safe and
protected. This paper describes the capability and functionality of the whole application.