Unlike manual and traditional point solutions, our Smart Factory approach to product quality assurance is based on capturing the reality with the most suitable sensors – camera, 3D, hyperspectral, microwave, or ultrasound. The rich sensor data is used to gain real-time insights with machine vision, sensor fusion and machine learning.
This enables you to finding root-causes of quality defects, controlling processes automatically, guiding users, and providing input to operational systems.
Capture the reality with the most suitable sensors
Get real-time insights from rich sensor data
Control processes or give user feedback to enable end-to-end optimisation
Edge computing can make existing manufacturing processes more intelligent and autonomous. By moving computing closer to the edge of the network, for instance, to the production equipment, these automated manufacturing systems are now not only able to act by themselves without human intervention, but also to react and make decisions based on changes in circumstances.
Artificial intelligence, especially machine learning, not only enables the software at the edges to detect patterns in the data it receives, but also to learn about correlations between data patterns and desired outcomes. When we let a computer analyse data and draw conclusions, we can give it positive or negative feedback so that over time the software will more often draw the desired conclusions.
Learn how emerging technologies can automate your product quality assurance and enable high quality products.
Find out some of the most beneficial use cases for your business.