One of the main problems faced in the industrial sector is represented by the complexity relating to the use of machinery and the need to quickly train personnel on their use and on increasingly complex maintenance procedures.

Traditionally, training requires a long time and significant resources, with a direct impact on productivity.

Furthermore, the variability of technical skills between operators can lead to suboptimal interventions, increasing the risks of future failures and prolonging machine downtime.

The use of augmented reality in the training and maintenance of industrial products has proven to be a winning strategy, capable of effectively responding to the challenges of the sector. This approach has not only improved the quality and efficiency of operations but has also opened up new perspectives for innovation in the management and maintenance of industrial machinery.

Accelerated Training: Augmented reality allows immediate on-the-job training, accelerating the learning process by viewing interactive guides and tutorials directly on the worksite.

Reduction of Machine Downtime: Thanks to the ability of operators to carry out repairs more effectively, a significant reduction in machinery downtime is estimated.

Increase Safety: By providing detailed instructions and real-time safety alerts, AR technology improves workplace safety, reducing the risk of errors and accidents.

Personalized Support: Augmented reality offers the ability to customize support based on the operator's experience level, adapting guides and tutorials to specific needs.

Continuous Improvement: Collecting data on operator performance and interactions with AR technology provides valuable insights for the continuous optimization of training and maintenance processes.

The developed solution uses augmented reality to create an immersive and interactive learning environment.

In fact, through augmented reality, operators are able to view indications and instructions, superimposed in real time on the machinery they were working with.

This technology therefore allows complex steps to be followed with precision, significantly reducing the learning curve and improving the quality of maintenance operations.