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Anomaly Detection
Whitepaper Management of quality-relevant production data   Learn how to integrate quality data throughout the production process, identify deviations early on, and improve your processes in a targeted manner.  
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Whitepaper Management of quality-relevant production data   Learn how to integrate quality data throughout the production process, identify deviations early on, and improve your processes in a targeted manner.  
curve anomaly detection

AI-supported anomaly detection for your production

The intelligent analysis of curve progressions and time series detects even the smallest deviations at an early stage and creates more quality, efficiency and process reliability in your production.

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DOES THIS SITUATION SOUND FAMILIAR TO YOU?
Insufficient curve analysis

In many industries, the precise recording and evaluation of curve values is crucial. However, traditional methods are often only based on the last measured values, which leads to an incomplete analysis.

Undiscovered anomalies

Without a holistic view of the time series, deviations from the standard can remain undetected, which can impair product quality and lead to failures.

Inefficient production processes

Manual and inadequate analysis procedures lead to time-consuming processes and wasted resources. This impairs the efficiency and competitiveness of your production.

Our solution

Detect anomalies,
before errors occur

The AI-supported analysis not only recognizes conspicuous curves, but also identifies anomalies, trends and critical changes in the process at an early stage. This allows quality problems to be avoided, causes to be identified more quickly and manufacturing processes to be improved in a targeted manner.

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ALL ADVANTAGES AT A GLANCE
Holistic curve analysis
Analysis of complete curves instead of isolated individual values for a much more precise evaluation. This comprehensive analysis is a core feature of the solution.
Early detection of anomalies
Deviations are detected before quality problems arise and affect the product or process.
Higher product quality
Early indications of material problems, tool wear or process deviations help to ensure quality in the long term.
Increased efficiency
Automated analysis reduces manual evaluations and speeds up the response to critical process conditions. The website explicitly mentions time and cost savings through automated monitoring and analysis.
Cost reduction

Fewer production downtimes, less rework and faster root cause analysis reduce follow-up costs in operation.

Can be used across all industries
The solution is suitable for a wide range of industries in which curve and time series data play a central role in quality and process reliability.

What our customers say

The cooperation in the project with the CSP experts was always trusting and goal-oriented. We particularly appreciate the direct contact with the developers. This meant that any questions that arose could be resolved very quickly at any time.
Andreas KollerKnorr-Bremse AG
As we often produce large quantities for our orders, we attach particular importance to process times. That's why it was important to us when choosing an assembly assistance system that we could use it to optimize our set-up and production times.
Oliver HampeHA-BE Gehäusebau GmbH
CSP has proven that it can replicate the processes of large companies very well.
Markus BartschAnton Schlecker e.K. I.I.
For me, CSP in Großköllnbach is an extremely competent contact for technical problems. The support is uncomplicated, fast and always very customer-friendly and pleasant. In summary, it is a pleasure to work with CSP.
Michael WagnerMercedes Benz Group AG
Secure your processes at an early stage
The later deviations are detected, the greater the effort, costs and risk. The AI-supported analysis of curves and time series helps to detect anomalies at an early stage, make processes more transparent and improve quality assurance in a targeted manner.
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Download whitepaper

Frequently asked questions

What is AI-supported anomaly detection?

AI-supported anomaly detection automatically analyzes curve progressions and time series and detects deviations that often remain undetected with conventional testing methods. This allows problems to be identified at an early stage before they affect quality or process stability.
How does the solution differ from traditional analysis methods?

Traditional methods often only look at individual measuring points or end values. AI-supported anomaly detection, on the other hand, analyzes the entire curve. This also reveals subtle patterns, trends and anomalies that would otherwise remain hidden.
What are the advantages of analyzing curves and time series?

The holistic analysis creates more transparency about your processes, detects deviations earlier and improves the basis for well-founded decisions. This helps to reduce errors, stabilize processes and ensure sustainable product quality.
What data can be analyzed?

Curves and time series data from industrial manufacturing processes can be analyzed. This includes, for example, process data from screwdriving processes, test sequences or other quality-relevant applications.
For which industries is the solution suitable?

The solution is suitable for industries with high quality and process reliability requirements, such as automotive, mechanical engineering, rail, aerospace and medical technology.
How does the solution support quality assurance?

Deviations are detected at an early stage before they result in rejects, rework or failures. This means that quality is not only checked at the end, but actively assured during the ongoing process.

Get the most out of your production

Reduce errors, increase efficiency, and ensure lasting quality.
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