A smart home security system leveraging Face Recognition offers an intelligent, automated approach to protecting residential spaces. This system integrates computer vision, machine learning, and Internet of Things (IoT) technologies to identify authorized individuals and detect potential intruders in real time. By using advanced algorithms such as Convolutional Neural Networks, the system can accurately analyze facial features captured through surveillance cameras and compare them against a secure database. Upon detecting an unknown or suspicious face, the system triggers alerts, activates alarms, and notifies homeowners via mobile applications. Additionally, it can maintain logs of entry and exit activities, enhancing monitoring and accountability. Compared to traditional security systems, this approach minimizes false alarms and eliminates reliance on keys or access cards. The proposed system emphasizes scalability, data privacy, and real-time responsiveness, making it suitable for modern smart homes. Overall, it represents a significant advancement in home automation and security by combining intelligent recognition capabilities with seamless user interaction.
Arjun et al. (Wed,) studied this question.