Learn more about machine vision! In our knowledge base we are explaining key technical terms about image processing. We give you an overview to topics like 3D machine vision or the established standards like CameraLink, GigE Vision or GenICam.
The basis of all imaging software is the ability to acquire, transfer,
manipulate and interpret the pixel data output by a camera. What happens to
these images can vary from the relatively simple task of saving them to disk,
through to using them in a complex pattern recognition application.
Although not essential for all applications, calibrating a vision system is important if you are looking to extract data and make decisions based on measurements using real world units, such as for robot guidance.
3D inspection is one of the latest buzzwords in the vision industry. The term 3D summarises a number of totally different acquisition and evaluation techniques that are used to gain object information that could not be easily analysed using 2D camera technology.
There are many types of barcodes used in industry to track and identify
products. Traditional 1D barcodes use a number of lines with varying
widths and spaces, which define a numeric string. 1D barcode reading
software analyses these patterns and returns a string.
Machine learning systems help solve problems autonomously by using analytical/problem-solving intelligence to predict outcomes. But do you know what they need to be able to operate, and which solution would work best for your application? Before we get into what the differences are, let’s cover what deep learning is, why you would want to use it and what you would typically need to get going with it.
The determination of localised movement in video is of major importance in applications such as traffic flow and people movement in security and surveillance, however the technique also finds use in science and industry with applications such as bulk movement estimation on conveyors and process monitoring.