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.
Maximum Cost-EfficiencyStarting 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.
Deep Industry ExpertiseThanks 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.
Awarded AI SolutionsDon'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.
OGP provides Multisensor Inspection Systems.
We utilize IconPro Software to bring to our customers
IconPro‘s combined deep expertise in production technology and industrial software development is very convincing.
We utilize the IconPro Apollo software for predictive maintenance of our robot systems to minimize downtimes.
The platform-agnostic and highly intuitive software by IconPro just serves the current needs in our industry.
It brings machine learning to production engineers and use-cases on-premises or in any cloud providing results quickly.
IconPro is a pioneer in the field of Predictive Quality, Maintenance and Process optimization.
We recommend the IconPro ARES software to shorten the start-up time and further optimize the productivity of a rolling process.
IconPro made an exceptionally innovative and professional impression since first meeting.
We were impressed by how quickly the IconPro ARES software generated essential process insights.
Thanks to its experience, IconPro is a reliable partner for machine learning software that meets the real needs of production.
IconPro Apollo proves to be an intelligent, networked and productive solution for the smart monitoring of measuring machines.
Working with IconPro in a pilot project proved to be simple, efficient and focused right from the beginning.
IconPro Apollo just met our demand for on-premise condition monitoring and analysis of our measurement machines.
IconPro became a strategic partner for the application of machine learning on our energy management use-cases.
With the help of IconPro TSAF we process energy carrier data from our factories to identify energy waste and reduce costs.
Software products like the ones of IconPro help industry customers with their individual needs on their cloud and AI journey.
We are happy to support IconPro as a Microsoft Partner with profound expertise in industrial AI.
Read when Machine Vision is better suited for quality assurance than classical methods and learn about an original application example (German only).
What is meant by a Data Strategy?
A Data Strategy for a production use case refers to the systematic planning and implementation of necessary steps for the data-based optimization of production processes. It includes the aspect of collecting real-time data from machines, systems, sensors and existing data storage devices as well as the aspect of the necessary data pre-processing and analysis. The issues of minimum data quality to achieve a defined and quantified technical and economic goal are just as much a part of the data strategy as the IT planning of the necessary architecture, hardware and software components.
What are benefits of a Data Strategy?
What characterizes a good consulting for a Data Strategy?
A good consulting for a Data Strategy in manufacturing industry combines the key characteristics of customer focus, data expertise and practicability. It must consider individual requirements such as production capacity optimization and scrap reduction. It also requires future-orientation and integration into the corporate strategy.
To ensure data is not viewed in isolation a holistic approach is neccessary. Also a clear communication is essential to convey complex concepts in an understandable way.
In particular, an in-depth knowledge of production technology and the operational processes of manufacturing companies is required for an effective Data Strategy consulting for manufacturing companies, because this enables the seamless integration of the Data Strategy into production processes for optimized results and strengthened competitive advantages.
Testimonial Hexagon AB
Having started with a larger software engineering project, IconPro became the main external partner for our AI strategy.
With IconPro, we enable the users of our statistical process control software to react to changes before they get critical.