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Industrial 4.0 systems exemplify identifiable and diagnosable systems, although specific failure and safety parameters necessitate visual identification. Hence, it is crucial to incorporate visual techniques in conjunction with traditional sensors or interconnected equipment. The objective of this work is to introduce a methodology for diagnostic and safety analysis that relies on Internet of Things, augmented reality, and data analysis. By merging computer-generated elements, such as visuals or sounds, with the physical world, augmented reality enhances the user's perception of reality.
In our previous work, smart glasses were designed for the purpose of augmented reality. These particular glasses were intentionally designed and created for the express purpose of aiding and supporting maintenance operators in their daily tasks and responsibilities within their respective work environments. The primary objective of these glasses is to furnish these operators with highly relevant and significant information pertaining to the specific equipment they are currently working on or targeting. By doing so, these glasses aim to enhance the efficiency, effectiveness, and overall performance of maintenance operators, ultimately leading to improved productivity and a more streamlined and optimized workflow. Through the employment of a database, the aforementioned glasses were capable of exhibiting the operators with assignments associated and preventive maintenance tasks. Nevertheless, it is important to acknowledge that the glasses lacked the ability to ascertain if the equipment in question was in a secure and functional condition. As an integral component of the ongoing project, a plentiful array of experiments has been executed and a notable volume of da-ta has been amassed. This accumulation of data has expedited the commencement of a cognitive progression. The ultimate objective of this progression is to augment the proficiency of the smart glasses in detecting prospective hazards linked to the apparatus within the operator's visual range. Thereby promoting a more proactive approach to risk prevention.
