Computer Vision
Computer vision (machine vision) refers to systems that recognise objects/characters etc. in digital still and moving image material and process them accordingly. The data can come from photos, videos or 3D cameras. Real-time analysis of this data is also possible. The data can be processed in many different ways.
In industry/medicine, this method is often used to detect deviations from the target state. This enables the computer, for example, to detect deviations in production with a high probability. Computer vision is also regularly used in the healthcare sector, for example, for X-rays and other medical imaging systems. Other possible applications include autonomous driving or the monitoring of farmland in agriculture. However, every technology has its pitfalls. Computer vision can also be misused for deep fakes, for example.
The open eye of a woman, meant to evoke the vision of a computer© Abstract photo created by creativeart - www.freepik.com
Prerequisite for use
There are different prerequisites depending on the application. For example, if computer vision is to be used in quality assurance, a lot of image data of the ideal condition and images of the defective condition of the component are needed in order to recognise patterns in these data using artificial intelligence methods. The data previously fed into the model must be classified. This means that it is first assigned which image represents a faulty state and which an ideal state. Based on this information, the calculated model can then also process new images and detect deviations, for example.