Complete solutions for industrial users
DEEP.MV - deep learning applications in industrial image processing
Our platform - machine learning for industrial use
MABRI.VISION has developed the DEEP.MV software platform for the application of modern deep learning and AI technologies in the industrial environment. The platform combines all the necessary components and enables use at the plant level.
Our deep learning platform is ideal for applications where rule-based approaches are challenging or fail. This applies above all to test applications with a wide range of variants and error characteristics, such as varying surface and structural properties. The MABRI.VISION platform can be used optimally where, due to the complexity, primarily manual and manual checks are carried out using error catalogs.
The classification forms the basis for many quality assurance tasks. In the application, there is no need for time-consuming labeling of data - it is sufficient to categorize images.
Error detection in flushing tabs
Injection molding defect
Pores and grooves
Segmentation is always important when objects, structures or errors have to be identified and delimited very precisely. This information can be used, for example, for process optimization
Surfaces ex. Glue residue
DOT code on tires
MABRI.VISION provides you with everything you need for your application. In this way, you avoid using partial and isolated solutions that do not interlock and are therefore difficult to maintain. In addition to the software application, we primarily supply the necessary sensor systems, test platforms and services for your production process.
By using our lean AI platform, challenging applications in the industrial environment can also be solved cost-effectively. Manual and time-consuming test steps can thus be omitted.
The deep learning technology can solve applications that are very challenging or cannot be solved satisfactorily with classic image processing. This opens up completely new possibilities in quality assurance.
As a universal solution provider for optical production metrology, we take a close look at your application. We only use our deep learning technologies when and to the extent that it makes sense for the application. In this way you avoid incorrect results and excessive development costs. In addition, we map all other essential components in quality assurance, including calibration and traceability.
One of the challenges of the current development trends in industry is modular production with ever shorter production cycles. Thanks to machine learning processes, you remain flexible and can adapt your production independently and adaptively.
The development in the area of deep learning is progressing very quickly. Our AI platform is therefore constantly being expanded and relies on established standards in research and development. This continuous development enables you to always use the latest technologies in the future.
Practical example: error detection on socks
Machine learning processes can be used wherever rule-based approaches are difficult to implement.
Practical example: Defect detection on metal pipes
Weld seam defect
Deep learning methods are based on artificial neural networks.
These networks are inspired by the (biological) neural networks, i.e. part of a nervous system. Artificial neural networks are built in layers. A layer or level consists of several artificial neurons. There are several hidden levels between an entrance and exit level. The name "deep" neural network gets the structure because of exactly these hidden levels.
MABRI.VISION builds and develops high-quality machine vision solutions and modular inspection systems for your production processes. Our modular system enables us to provide solutions for your inspection tasks quickly and efficiently.
Do you need more information about a specific product or application? Use the MABRI.VISION contact form below or call us.