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Process monitoring with AI in injection molding
Optimize processes and reduce rejects with iQ process observer
The AI-supported software solution iQ process observer continuously monitors all five phases of the injection molding process: plasticizing, injection, cooling, demolding, and production. Hundreds of process parameters are captured and analyzed in real time. The results of the AI data analysis are clearly displayed on the machine control system and in the e-connect customer portal.
Your advantages of AI-supported process monitoring
Targeted use of skilled workers
Targeted use of skilled workers
Data analysis with AI prepares process data clearly and highlights current deviations. This enables experts to focus on the issues that matter most, improving efficiency and helping manufacturers address the ongoing shortage of skilled workers.
Avoid rejects at an early stage
Avoid rejects at an early stage
AI-supported process monitoring detects deviations early, before rejects occur. As soon as a deviation is identified, iQ process observer provides an immediate, data-based recommendation for action, without the need for time-consuming and costly trial runs.
Continuous process monitoring for stable production
Continuous process monitoring for stable production
iQ process observer enables continuous process monitoring by visualizing the stability of your injection molding process. Integrated process data analysis supported by AI data analysis identifies deviations and provides a reliable basis for data-driven decisions and targeted process optimization.
Process data available anywhere, anytime
Process data available anywhere, anytime
iQ process observer is available on the control unit and via the web. This allows you to access your process data from anywhere. The web-based version, enables long-term AI-supported data analysis and provides deeper insight into process performance over time.
Functions of iQ process observer
See the process status at a glance
iQ process observer makes complex production processes easy to understand at a glance by clearly visualizing the current process status across all five phases of the injection molding process. Automatic data analysis with AI continuously evaluates hundreds of process parameters in real time and detects process deviations at an early stage. Traffic light indicators show immediately whether the process is running stably and how changes to target values affect the overall process, without any prior configuration.
Define reference values with a single click
With just one click, the iQ process observer defines reference values for hundreds of process parameters and, if desired, creates a complete snapshot of the optimal process. Process monitoring then clearly shows whether the current process matches the reference state and identifies which deviations may lead to potential quality changes.
Detect reasons and arrive at a solution
iQ process observer supports root cause analysis and targeted process optimization. Based on intelligent algorithms and integrated expert knowledge, process data analysis identifies deviations and reveals optimization potential. Clear indications of anomalies, combined with possible causes and recommended actions, help users identify process weaknesses faster and resolve them efficiently and sustainably.
Process monitoring at the control unit
All functions of iQ process observer are also available directly on the machine control system (from CC300 onward). With minimal configuration effort, the solution can be activated quickly and enables immediate, transparent monitoring of the injection molding processes in your production.
Our experts will be happy to advise you.
How AI supports process monitoring in injection molding
AI simplifies process monitoring, continuously learns from production data, and reduces the need for manual quality checks. The result is more stable, transparent processes and more efficient use of skilled labor.