Procemex Smart Factory
AI-driven tools for for our pulp and paper customers. Industrial workforce safety. Vision tools for remote operating. AI enhance Web Monitoring and Inspection. Visual Process Data Digitalization.
Our AI-based digital Smart Factory solutions utilize machine learning and computer vision to process real-time streams of video data to rapidly identify quality and safety anomalities and create alarm and analytics for appropriate teams.
Procemex Smart Factory
Identify critical unsafe act conditions at a very early stage and plan a remediation.
Industrial Workforce Safety
Vision tools for Remote Operating
AI enhance Web Monitoring and Inspection
Visual Process Data Digitalization
Industrial Workforce Safety
Identify critical unsafe act conditions at a very early stage and plan a remediation.
- Fall and seizure detection in mill premises
- Virtual fencing and safety area alert
- Mask and helmet recognition
- Vest and safety glasses recognition
- No personally identifiable data captured
Why?
- Identify unsafe acts and conditions instantly
- Reduction in injuries
- Improve profitability and uptime
Remote Operating
- Immersive virtual environment by combining 3D virtual world with live video streams
- Virtual remote visits from anywhere at anytime
- Virtual operator machine rounds with automated tours and recorded history
- Remote real-time monitoring of asset condition
Why?
- More efficient use of subject matter experts
- Optimized maintenance execution and coordination
- Faster problem solving
- Cost reduction
AI Enhanced Web Monitoring and Web Inspection
We provide AI driven tools to automate web break root cause analysis and provide real-time anomaly detection of visual process disturbancies.
- Automated web break event analysis
- Real-time anomaly detection and alarming
- Advanced defect classification
- Web break and defect prevention
Why?
- Faster reaction time with automated web break root cause analysis
- Prevented web breaks with early warnings
- Increased machine uptime by need-based operator guidance
Visual Process Data Digitalization
- Cleanliness monitoring
- Analog meter digitalization
- Asset condition monitoring
Why?
- New quantifiable and actionable data created
- Increased machine uptime by visual asset and process condition analysis
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