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Face Recognition Using IOT Devices in Smart Cities Using Lamstar Network

Year: 2025

Type: article

Abstract: 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

Source: Computer Science Engineering and Technology

DOI: 10.46632/cset/1/1/10

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4415656819

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