Drive your operational performance with PA Facts

Today, most machine vision systems are limited to performing simple quality checks or detecting the presence of components. They act after the fact — raising alarms once a defect has occurred. Adjustments to production settings are then done manually by operators, often too late to prevent waste or inefficiency. These systems are sensitive to change and cannot adapt dynamically when process conditions vary.

                                                                                                                                                                                                                              Computer Vision changes this reactive approach, with its feature Smart Supervisory Machine Vision. The latter, serves as a link between production process supervisory control and machine vision.

Furthermore, it integrates machine learning, sensor- and process data and advanced process control.

Transform your machine vision system with Orise‘s Computer Vision, turning it from a basic quality monitor into an intelligent, proactive optimization tool.

 

Automated Supervisory & Advanced Process Control

Leveraging Machine Vision, Sensor Data, and Process Data Fusion for Real-Time Production Optimization

Standard machine vision applications typically check for quality or presence and generate alarms or signals to actuators when issues are detected. However, changes to process parameters to prevent poor quality or defects are usually done offline and manually, resulting in prolonged periods of sub-optimal production quality. Problems are only detected after they exceed the thresholds set in the computer system.

 

Thanks to our expertise in computer vision, machine learning, and industrial Advanced Process Control, we can take this a step further. By deriving process parameters from industrial camera images and integrating other sensor and process data, our predictive models and artificial intelligence algorithms can detect anomalies and process drift in real-time. Our smart software then adjusts the process parameters before issues arise.

 

The approach enables automated, real-time tuning of process parameters—supervisory control—to optimize product quality and minimize defects.

 

The result is a transformative approach to machine vision that not only enhances product quality but also boosts operational efficiency and productivity, while significantly reducing downtime.

The Smart Supervisory Machine Vision system delivers significant benefits:

  • Real-time process optimization
  • Solving complex problems through intelligent modeling
  • Improved product quality and productivity
  • Adaptive control that adjusts automatically to process changes
  • Reduced downtime, waste, and manual interventions
  • Enhanced operational efficiency

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