MirrorME: implementation of an IoT based smart mirror through facial recognition and personalized information...

Area of Science:

• Computer Science
• Human-Computer Interaction
• Internet of Things

Background:

• The Fourth Industrial Revolution (4IR) integrates advanced technologies like AI and IoT.
• Traditional mirrors lack smart functionalities, despite the prevalence of smart devices.
• There is a need for integrated, personalized information systems in daily routines.

Purpose of the Study:

• To develop a low-cost intelligent mirror system.
• To integrate AI and IoT for personalized daily information display.
• To enhance user interaction and security through face detection and voice input.

Main Methods:

• Development of an AI and IoT-based smart mirror system.
• Implementation of face detection for secure user authentication.
• Integration of features such as weather, news, calendar, and traffic updates.
• Development of the MirrorME application for user interaction.

Main Results:

• The smart mirror successfully displays personalized daily updates.
• Face detection and voice input features were implemented.
• The MirrorME application achieved an 87% success rate in user interaction.
• The system provides multimedia facilities with high security.

Conclusions:

• The proposed intelligent mirror system offers a practical and secure solution for daily information access.
• The integration of AI and IoT in mirrors enhances user experience and daily task management.
• The MirrorME system demonstrates the potential of smart mirrors in the context of Industry 4.0.