Smart Security: A Biometric Access Control and Tracking Architecture for IIoT Environments
Antonio Filho, Brendon Andrade de Lima, Celso B. Carvalho, Danielle Paz, Otoniel da Cunha Mendes, Vitoriano M. Casas, Williame Rocha · 2024
This article introduces Smart Security, an architecture for access control and biometric tracking in the context of the Industrial Internet of Things (IIoT), a field that becomes increasingly important as industry 4.0 evolves. Our proposal is unique integrating RFID, multimodal biometric authentication, and personnel monitoring, significantly strengthening the security infrastructure in industrial environments. In a scenario where security threats are increasingly sophisticated and manufacturing environments require greater operational efficiency, we highlight how IoT can be a fundamental ally both in enhancing security and in optimizing processes. The main contributions of this work include: i) the enhancement of security and asset traceability, using RFID tags on mother POS (Point of Sale) equipment; ii) multimodal and multifactorial biometric access control in secure rooms; iii) personnel monitoring through facial recognition, even in situations of facial obstruction; iv) and an integrated system that simplifies security operations, promoting a safer and more efficient environment. In addition to describing the implementation of the Smart Security proposal, the article assesses the CPU and GPU processing performance of the people counting subsystem, offering future perspectives on the evolution of our proposal. This work not only responds to the growing demands for more robust security in industrial contexts but also paves the way for new integrated approaches that can transform security management in IIoT environments.