Power and Process Monitoring
The iba system tells you exactly what is happening in your plants and your energy system. The components are all perfectly coordinated with one…
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ibaVision integrates professional, industrial image processing into the iba system and enables visual monitoring and analysis of processes. Quality checks can be automated during the production and allow early intervention in the process before major errors occur.
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ibaVision serves as a link between the iba system and project-specific image processing solutions.
With version 3, ibaVision introduces a new plug-in architecture that allows building solutions for an even wider array of projects. Independent of the used plugin, the main feature of ibaVision consists of processing image data automatically. Results are presented either as data (numeric/text) or as new images. All these results can be processed, visualized and analyzed with the familiar iba tools in the usual way. In general, automatic inspection images can provide information that is hidden to conventional sensors. Thus, ibaVision provides ways to enhance previously unavailable process information thus offering new possibilities for analysis and automated monitoring.
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| Order no. | Name | Description |
|---|---|---|
| 38.100000 | ibaVision | Application for image recognition tasks, HALCON runtime license not included |
| 38.100001 | ibaVision with HALCON Runtime License | Application for image recognition tasks including HALCON runtime license |
| 38.100002 | ibaVision 2-Program-Add-On | Extension license for 2 additional HALCON applications |
| 38.100003 | ibaVision-128-Signal-Add-On | License extension to transfer 128 more output signals to ibaPDA |
By automatically processing live image data, visual information can be transformed into structured process data in real time. Defects, deviations, positions, or measurement values can be detected automatically and analyzed together with other process signals. This provides additional insights that are often impossible to achieve with conventional sensors alone.
Combining machine vision with process data enables automated quality control in real time. Errors can be detected early before they lead to larger quality issues or downtime. At the same time, linking image and process data improves traceability and simplifies root cause analysis.
Image data can be captured synchronously with machine, sensor, or control signals based on time or process events. This allows visual events to be directly correlated with process conditions, enabling more precise analysis of production workflows and faster identification of causes behind quality deviations or failures.
Typical applications include surface defect detection, dimensional inspection, assembly verification, and position tracking in robotics or motion control systems. Automated reading of visual indicators and monitoring of complex machine behavior are also common use cases.
Modern machine vision solutions can be connected directly to cameras, control systems, and data acquisition platforms through standardized interfaces. Custom algorithms, for example based on Python or Halcon, enable project-specific analysis and extend existing monitoring systems with additional visual intelligence.