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Industrial Sector

Predictive Maintenance

This digital solution leverages artificial intelligence and advanced analytics to transform data from various sources—such as electronic devices and operational systems—into valuable insights about equipment condition. Instead of relying on scheduled or corrective maintenance, the solution predicts equipment failures before they occur and suggests the optimal timing for maintenance.
By continuously monitoring and analyzing operational data using deep learning models, the system can identify usage patterns and expected wear on components, enabling the prediction of remaining operational time and the ideal moment for preventive maintenance. This helps factories avoid unplanned downtime and reduce costly corrective maintenance expenses.
The solution offers an easy-to-use interface with interactive dashboards, allowing operators to monitor equipment status and plan preventive maintenance smoothly. It can also integrate with existing systems and software in the factory to provide a comprehensive, unified view.

By adopting this predictive maintenance solution, factories can significantly improve production continuity, reduce operational costs, and enhance their ability to plan and manage maintenance processes efficiently.

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Industrial Sector

AI-Based Safety Solutions

These integrated solutions use computer vision and deep learning technologies to monitor and analyze worker behaviors and workplace conditions. The goal is to identify safety hazards in real-time and alert workers and supervisors to potential risks.
The solution can detect unsafe practices, risky movements, and environmental hazards. It provides immediate alerts when dangerous situations are detected, enabling quick interventions and improving safety behaviors.
Additionally, the solution offers advanced analytics to identify the causes of accidents and injuries. Based on these insights, it provides actionable recommendations for continuous improvements to workplace safety and practices.
By integrating safety data with other operational data, managers can gain a comprehensive view of operational performance and regulatory compliance. This empowers them to make informed decisions to enhance safety in the factory.

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Industrial Sector

AI Behavior Analytics

This digital solution leverages advanced AI technologies to monitor and analyze worker behaviors and operational processes within the factory. The goal is to gain deep insights into operational performance and the factors influencing it.
Rather than relying on traditional monitoring and manual reports, this solution collects and analyzes real-time digital data about worker behaviors and operational efficiency. It uses computer vision and deep learning techniques to identify patterns in behavior that impact productivity and quality.
For example, it can recognize behavior patterns such as worker productivity, discipline, and operational efficiency. It then analyzes this behavioral data to pinpoint weaknesses and uncover opportunities for improving operational performance and quality.
This solution offers an interactive user interface with advanced dashboards, enabling managers to explore behavioral data and gain actionable insights. It can also be customized to meet the specific needs of the factory, such as analyzing production efficiency or product quality.

By adopting this behavioral analytics solution, factories will gain a deeper understanding of their operational factors and workforce behaviors. This enables them to make informed decisions that significantly improve productivity and quality.

Contact us for consultation with PFI experts in this field.