We identify and solve your challenges – end-to-end and as full-service partner.
Work with us partly or from the beginning – build on our expertise.
Starting with a concentrated workshop project instead of directly investing larger in-house or external efforts, you ensure the highest cost-efficiency and lowest risk for your project.
Thanks to years of experience with various production projects and use-cases, we gained deep expertise in almost any industry and understand your use-case quickly.
Don't reinvent the wheel but build on existing technology. If it fits your needs, we will utilize our awarded software for your use-case and integrate seamlessly into your infrastructure.
Get to know how to prevent scrap and reduce scrap in production or already during ramp-up by up to 40 % or more.
Focus on parts that are predicted to be scrap & reduce inspection frequencies up to 50% or more.
Optimize process parameters for better quality to increase the process capability or meet lower tolerances.
We describe process steps, influences and quality outputs and evaluate the current data situation.
Production data is taken to test for product quality predictions & estimate the expected ROI.
In case of positive results, the in-process quality prediction or optimization is planned.
See anomalous machine behavior and predicted insufficiencies to reduce downtime by up to 50% or more.
Predict and schedule required service activities instead of fixed intervals to reduce costs by up to 40% or more.
Increase availability, performance and quality to enhance the overall effectiveness by up to 10% or more.
We identify required machine information & according data sources & protocols with you.
Extraction & communication of machine information via standard protocols is tested.
A deployment for a test machine is tested including user interface, roll-out planning.
Replace costly manual visual inspections or complex automated image evaluation procedures.
Downtimes due to missing staff or failures of the existing classical inspection methods can be avoided.
Truly automated visual inspection is robust against changes, repeatable, and helps reduce call-backs.
You describe your quality evaluation criteria, we understand and assess the available image data.
AI image processing is tested for a proof of concept. The accuracy and ROI are determined.
In case of positive results, the in-process deployment and roll-out are planned in detail.
See anomalous energy or resource consumption, plan supply and costs based on forecasts.
Predict critical conditions, machine or wear parameters values and act in time to avoid downtimes.
See anomalies & changepoints in process or quality time-series, use forecasts to ensure stability.
We describe your use-case including relevant signal data & goals & assess existing data.
Predictions & anomaly detections are performed for given test data to determine the expected ROI.
In case of positive results, the operational deployment into your infrastructure is planned.
Get to know how to prevent scrap and reduce scrap in production or already during ramp-up by up to 40 % or more.
Focus on parts that are predicted to be scrap & reduce inspection frequencies up to 50% or more.
Optimize process parameters for better quality to increase the process capability or meet lower tolerances.
We describe process steps, influences and quality outputs and evaluate the current data situation.
Production data is taken to test for product quality predictions & estimate the expected ROI.
In case of positive results, the in-process quality prediction or optimization is planned.
See anomalous machine behavior and predicted insufficiencies to reduce downtime by up to 50% or more.
Predict and schedule required service activities instead of fixed intervals to reduce costs by up to 40% or more.
Increase availability, performance and quality to enhance the overall effectiveness by up to 10% or more.
We identify required machine information & according data sources & protocols with you.
Extraction & communication of machine information via standard protocols is tested.
A deployment for a test machine is tested including user interface, roll-out planning.
Replace costly manual visual inspections or complex automated image evaluation procedures.
Downtimes due to missing staff or failures of the existing classical inspection methods can be avoided.
Truly automated visual inspection is robust against changes, repeatable, and helps reduce call-backs.
You describe your quality evaluation criteria, we understand and assess the available image data.
AI image processing is tested for a proof of concept. The accuracy and ROI are determined.
In case of positive results, the in-process deployment and roll-out are planned in detail.
See anomalous energy or resource consumption, plan supply and costs based on forecasts.
Predict critical conditions, machine or wear parameters values and act in time to avoid downtimes.
See anomalies & changepoints in process or quality time-series, use forecasts to ensure stability.
We describe your use-case including relevant signal data & goals & assess existing data.
Predictions & anomaly detections are performed for given test data to determine the expected ROI.
In case of positive results, the operational deployment into your infrastructure is planned.
Read when Machine Vision is better suited for quality assurance than classical methods and learn about an original application example (German only).
Testimonial Mubea Tailor Rolled Blanks GmbH
IconPro ist ein Pionier auf dem Gebiet der Predictive Quality, Maintenance und Prozessoptimierung.
Wir empfehlen die IconPro ARES-Software, um die Anlaufzeit zu verkürzen und die Produktivität eines Walzprozesses weiter zu optimieren.