Vision & AI

The potential of image processing 
and artificial intelligence –

integrated and customized to your needs!

Vision & Artificial Intelligence

Neural networks and intelligent object recognition have the potential to fundamentally transform manufacturing processes. Image processing refers to the analysis and processing of visual information captured by cameras. In combination with AI, this technology can enable automated and precise decisions in real time.

Functionality of image processing using AI

Image processing is based on capturing images or videos in which certain features or objects are recognized and analyzed. Camera systems are installed at strategic points in production to continuously monitor work processes. This is where AI comes into play: traditional image processing systems often rely on predefined rules and algorithms to recognize certain patterns. With AI, specifically through machine learning (ML) and deep learning, these systems can learn to solve complex visual tasks on their own without having to manually program all possible scenarios.

Technologies behind Vision & AI

Machine Learning (MC)

Machine learning models analyze large amounts of image data and recognize patterns that are relevant for specific tasks. Through continuous training, they improve and can make more precise decisions, e.g. when detecting defects in products or monitoring machines.

Deep Learning & neural networks

Deep learning, a sub-discipline of ML, uses neural networks to understand highly complex image patterns. This is particularly useful for recognizing and classifying objects or analyzing movements in manufacturing. These networks mimic the way the human brain works and learn to process image data efficiently through experience

Computer Vision

Computer vision is the technical core of image processing. It comprises algorithms that extract and analyze useful information from the captured images. In combination with AI, computer vision can solve problems such as quality control, defect detection or the monitoring of robot movements in production.

Exemplary areas of application in manifacturing

Error detection

Quality control

Process optimization

Automation

Further areas of expertise:

IIoT & Connectivity

Embedded Software Engineering