Rule-based quality logic relies on clearly defined limits, thresholds, and deterministic decision rules. AI methods (e.g., data-driven models), on the other hand, use pattern recognition, multivariate relationships, and statistical learning techniques to evaluate complex combinations of features.
Inline Rotary Indexing Table with Laser Measurement Stations
In many inline applications, individual measured values are compared with fixed tolerance limits (e.g., dimension X > limit Y → reject). This logic is transparent, verifiable, and easy to audit. It is particularly suitable for clearly defined geometries and unambiguous quality features.
With complex surfaces, varying materials, or multidimensional relationships, purely threshold-based evaluations reach their limits. Multiple features influence each other, and quality assessment can no longer be clearly represented by individual threshold values alone.
Data-driven models enable the evaluation of complex patterns in 2D or 3D measurement data. They can detect relationships that are difficult to formalize within classical rule sets. However, for industrial use, traceability, verifiability, and stable performance under serial production conditions are essential.
• Transparent decision logic
• Reproducible results despite process variations
• Controllable model boundaries
• Integration into existing quality and control systems
• Ability to re-validate models when process conditions change
In industrial inline systems, the meaningful combination of both approaches is crucial. Deterministic rules ensure reliable decisions in clearly defined cases, while AI methods evaluate complex feature spaces. The goal is not maximum model complexity, but stable and traceable process decisions.
QuellTech combines high-precision 3D laser measurement data with structured feature extraction and—where appropriate—data-driven analysis. The focus is not on black-box optimization, but on the robust derivation of process-relevant quality information for industrial serial production applications.
Inline measurement solutions:
Optical Inline Measurement Technology
3D laser scanner technology:
3D Laser Scanner Measurement
We are happy to help you with that!
Stefan Ringwald
Technical Contact
If you have any questions about Optical Inline Measurement or would like a consultation from QuellTech on this subject, we will be happy to help.
We would like to help you to precisely evaluate your specific measurement task. Through an initial free test measurement of your application, we can give you an early assessment of the feasibility.
There is always potential for improvement, we will help you with that. Contact us for more information or to make an appointment for a consultation.
Would you like to assess the feasibility of your measurement task as early as possible? Take advantage of our free initial sample measurement.
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Your technically competent contact, Stefan Ringwald, will be happy to help you.
Our aim is to fully understand your specific technical requirements for your current measurement task.
Thanks to many years of experience with complex tasks in the field of 3D laser measurement, you will receive well-founded solution proposals from us.
Hinweis für Deutsche Unternehmen:
Für Investitionen in Ausrüstungen gilt seit Juli 2025 eine degressive Sonderabschreibung von bis zu 30% p.a. – befristet bis Ende 2027.
Je früher die Anschaffung erfolgt, desto länger kann dieser Vorteil genutzt werden.
(Dies ist keine Steuerberatung, bitte wenden Sie sich für Details an Ihre Steuerberatung.)
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