Digitalization of brownfield manufacturing assets
How any legacy equipment can profit from data enablement with Augmented Machine Vision (AMV)
Making the digitalization of brownfield assets possible
Manufacturers relying on proven brownfield machinery, are often faced with the challenge of making their legacy manufacturing equipment ready for the digital future. Thereby, technically complex and expensive updates often stand in the way of using valuable data from machines and operations.
With the Siemens Advanta Augmented Machine Vision (AMV), a complete digitisation layer can be added with just a small investment. Rapid implementation is possible, minimizing production losses due to smallest possible interventions in the production process.
Augmented Machine Vision (AMV): A lightweight vision system for digital image processing and interpretation
The Siemens Advanta Augmented Machine Vision (AMV) is a solution that uses smart cameras to collect detailed and real-time insights into manufacturing processes. As it does not interfere with existing tools and systems, complex setups and expensive upgrades can be avoided, making the replacement of proven legacy equipment obsolete. By using building blocks, the solution also can easily be adapted and extended to individual purposes.
Boost the quality and performance of processes with predictive data models.
Expand capabilities of systems like machines or robots by using virtual feedback.
Automate quality assurance by autonomous object analysis.
Reduce search time and find relevant material and assets area-wide.
QUALITY INSPECTION WITH AUGMENTED MACHINE VISION
Various use cases with Augmented Machine Vision (AMV) help to improve quality analysis by detection, localization, and assessment of multiple defects during production process.
Improve defect detection
Exact localization of damage
Error reduction through deep learning approach and post-processing step
Identification of multiple defects in drinking cans
Solving the problem visually with use of Deep Convolution Network to give probability of defect, identify, and localize actual defects
Accuracy of model of around 90% on unknown test data
A non-invasive, adaptable solution for brownfield assets to profit from digitalization:
With the help of Augmented Machine Vision (AMV), we enable manufacturers to benefit from the provision and interpretation of all observable data from legacy manufacturing equipment: