FOCUS ON QUALITY.
The advanced automation of industrial production processes through machine vision and machine learning allows many industries to take their business to a new level. With our technologies for machine learning it is possible to design solutions to monitor, control and optimize industrial processes.
We have created AI-based quality control solutions that enable a comprehensive realtime view on and control of the industrial process and end-product quality.
Our technology assets for realtime quality control are capable of fusing data from multiple sources, including machine vision sensors, processing them using diverse data visualization and analysis approaches, as well as applying machine learning methods for detecting defects and anomalies, predicting quality, and recommending and even executing optimal controls.
A UNIKIE SET OF ASSETS FOR QUALITY CONTROL.
BENEFITS OF REALTIME QUALITY CONTROL.
- Identifying trends and forecasting production quality
- Predicting and avoiding raw material, production line and end-product quality issues
- Information and recommendations on the effect of process parameters and settings to the end-product
- Decreasing downtime
- Increasing manufacturing efficiency and accuracy