In this paper a smart system for Access control of industrial machines and vehicles is presented. The development of the so-called Industry 4.0, together with the spread of contactless technology such as NFC Radio Frequency Identification, and the massive industrialization of working process, resulted in a significant integration of information technologies in smart industrial vehicles and forklifts. These are one of the main causes of work-related accidents, due to a frequent improper usage of this machines. The presented solution is a smart system that uses RFID reader and personal smart cards that interrupts machine ignition or movement, allowing just trained workers use them. Machines usage data are stored in system internal memory. A dedicated application makes new cards compatible and saves user data in them; a simple user interface is also implemented to add or remove employees permission or authorised cards and tags.

Smart Access Control System for Industrial Machines and Vehicles based on RFID Technology

Colaiuda D.;Ferri G.;Leoni A.;Pelliccione A.;Arezzo V.;Stornelli V.
2022-01-01

Abstract

In this paper a smart system for Access control of industrial machines and vehicles is presented. The development of the so-called Industry 4.0, together with the spread of contactless technology such as NFC Radio Frequency Identification, and the massive industrialization of working process, resulted in a significant integration of information technologies in smart industrial vehicles and forklifts. These are one of the main causes of work-related accidents, due to a frequent improper usage of this machines. The presented solution is a smart system that uses RFID reader and personal smart cards that interrupts machine ignition or movement, allowing just trained workers use them. Machines usage data are stored in system internal memory. A dedicated application makes new cards compatible and saves user data in them; a simple user interface is also implemented to add or remove employees permission or authorised cards and tags.
2022
978-989-758-566-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/206525
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