Virtual home assistant using face recognition

Norazlan, Muhammad Afiff Eizlan (2024) Virtual home assistant using face recognition. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

Text (Full Text) Virtual home assistant using face recognition.pdf - Submitted Version Download (5MB)

Abstract

In recent years, improvement in artificial intelligence and computer vision have sets out the path for the innovative applications in home automations and personal assistance. The goal of this project is to develop the virtual home assistant that integrates with face recognition for the security improvement and user interaction in smart home environments. Virtual home assistant that integrates with face recognition will identify and authenticate users, providing a smooth, hands-free experience that can be customised to each user’s preferences. The primary features of virtual home assistant including device management, identification of unauthorized access attempt and responses to the users. By using the machine learning models, the system will improve the accuracy of the face recognition to the facial changing over the times. This project involves designing, implementing, and evaluating the virtual home assistant with focus on user-centric features and robust security mechanism. The result show that using face recognition integrate with virtual home assistant will not only makes user interactions more efficient, but it also greatly improves the security for the current smart homes.

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