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What is AI & Deep Learning?
MV.MINDNET - Deep Learning Platform from MABRI.VISION
What does artificial intelligence mean?
The term artificial intelligence (AI) or AI (artificial intelligence) is not clearly defined.
A definition fails simply because the concept of intelligence is not clear. The term artificial intelligence (AI) was created in the 1950s and is therefore historically shaped and subject to many influences.
The term reflects the vision and the “big picture”. AI touches on several technical and scientific disciplines and is often used (including by us) as a catchy marketing term. When people talk about AI in measurement technology or image processing, they usually mean machine learning (ML) or “deep learning” (DL).
The terms build on each other as follows. Artificial Intelligence (AI) → Machine Learning (ML) → Deep Learning (DL)
Historical course
Although artificial intelligence is often described as a trend, it is by no means a new phenomenon. As early as the 1950s, scientists shared the belief that the process of thinking is not limited to the human brain. After research on the topic stalled, particularly in the 1980s, technology companies like Google gave the area a new boost in the 2000s. Today, artificial intelligence is an integral part of our everyday lives.
What does machine learning (ML) mean?
In image processing there are basically two different ways to process a problem:
Rule-based programming
- Manually formulate and program rules after the results are calculated or defined
Machine learning
- Training a model with data
- Independent learning of patterns from the data
- Classifying or estimating outcome variables
Which approach is better depends on the application and must be carefully assessed or determined systematically. Rule-based approaches, especially in measurement technology and image processing, are well suited to making decisions based on clear measurement characteristics and rules. If the rules are not known or can only be systematically extracted from images with great effort, a machine learning method may be a better approach. Machine learning methods are typically used in image processing for difficult segmentation tasks, in character recognition (OCR / OCV), pattern and anomaly recognition, object and image recognition and image classification. In modern applications, both approaches are usually combined sensibly.
Machine learning (ML) learning methods
Roughly and simply put, there are 3 different learning methods for machine learning.
Deep learning vs. machine learning
Modern AI applications are based almost exclusively on deep artificial neural networks (ANN). The special thing about the networks is that they can also perform complex tasks and manual feature extraction can be completely eliminated. An ANN is therefore able to independently carry out complex tasks.
- Deep learning is a branch of machine learning
- DL methods are based on artificial neural networks with several intermediate layers
Artificial neural networks (ANN)
Deep learning processes are based on artificial neural networks.
These networks are inspired by (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 input and output level. The structure gets its name “deep” neural network because of these hidden layers.
Convolutional Neural Networks (CNN)
So-called “convolutional neural networks” (CNN) are mostly used in image processing. These networks, inspired by the visual cortex, consist of multiple feature maps. These feature maps correspond to the layers of an artificial neural network and are generated by convolution. The convolution operators produce different characteristics/features, such as edges. In image processing, a CNN should be able to generalize features and represent them in ever higher levels of abstraction.
Source: LeCun, Yann, et al. “Gradient-based learning applied to document recognition.” Proceedings of the IEEE 86.11 (1998): 2278-2324
Source: Lee, Honglak, et al. “Unsupervised learning of hierarchical representations with convolutional deep belief networks.” Communications of the ACM 54.10 (2011): 95-103.
MV.MINDNET, the deep learning platform from MABRI.VISION combines the latest technology and practice-oriented solutions.
Why MABRI.VISION
MABRI.VISION builds and develops high-quality machine vision solutions and modular testing systems for your production processes. Our modular system enables us to provide solutions for your testing tasks quickly and efficiently.
Innovative solutions, our passion!
Innovative solutions, our passion!
Innovation is the foundation for continuous growth in modern industry. We live this out every day and begins in the minds of our team of experts. The focus is always on the benefits and requirements of our customers. We passionately implement testing processes that range from AI-based computer vision solutions to 100% inline component measurement of sophisticated products. We rely on the latest generations of advanced technologies for our measurement technology. With this philosophy we want to make production processes more efficient and dynamic.
AI, processing, control - one software platform
AI, processing, control - one software platform
With the goals of Industry 4.0 and a continuous improvement process, the demands on test automation, interfaces and efficient evaluation algorithms are increasing. We at MABRI.VISION have recognized this trend and are taking it one step further. Our software team develops modular software platforms that combine all the components of modern testing systems. If necessary, we can expand evaluation algorithms with neural networks, map fast interfaces to system controls and integrate audit trails, batch reports, history graphs or databases as required.
A strong team, always there for you.
A strong team, always there for you.
As a customer, you are always at the forefront for us. Our team of vision experts, construction, software development, electrical, assembly and support is always there for you. Thanks to modern business processes and IT solutions, speed is a central goal. With our service solutions including 24/7 support, we support your production with efficient solutions.
End-to-end solutions, everything from a single source.
End-to-end solutions, everything from a single source.
You think in processes, we think in solutions: that's why we offer our customers turnkey testing systems that can be seamlessly integrated into your production processes. Our experts advise on planning and design at the beginning of a project. If technologies need to be evaluated, we carry out feasibility studies and inline tests. At MABRI.VISION we offer system design, programming and automation from a single source. We can optimize complex evaluations and tests directly with the system control and all customer interfaces.
Contact.
Do you need further information about a specific product group or do you have a specific product inquiry? Use our contact form or call us.
- MABRI.VISION GmbH Philipsstraße 8 52068 Aachen
- +49 241 5652 7930
- info@mabri.vision
