Intelligent Facial Recognition: a Comparative Analysis with Traditional Security Systems

Chong, Yen Khang (2024) Intelligent Facial Recognition: a Comparative Analysis with Traditional Security Systems. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Traditional security systems struggle with accuracy due to factors like false alarms and facial variations. This project proposes an Intelligent Facial Recognition System to address these limitations. Deep learning with a large dataset will be used to develop a system that can extract facial features and identify faces. The system will include facial recognition, a secure database, integration with other security components, and adaptive resource management. This intelligent system offers improved accuracy, reduced false positives/negatives, and real-time monitoring, providing a comprehensive and proactive approach to residential security.