Face Recognition Using IOT Devices in Smart Cities Using Lamstar Network

This study proposes a face recognition system using IoT devices in smart cities, leveraging the Large Memory Storage and Retrieval (LAMSTAR) Neural Network (NN). Traditional face recognition methods struggle with accuracy due to poor feature extraction and high computational complexity. To address this, facial images are captured using IoT sensors and pre-processed using advanced filtering techniques. Key facial features are extracted and classified using the LAMSTAR network, which enhances recognition accuracy by efficiently storing and retrieving facial patterns. This system improves security, real-time monitoring, and access control in smart cities, ensuring efficient and adaptive face recognition