Vision technology in general and industrial cameras specifically are of growing importance in daily life. Learn more here through informative articles and videos
Fluorescence microscopy is used today in many applications in science, medicine and industry. What do you need to consider when choosing a camera for this technology?
Machine vision is essential for automated environments. What contribution does computer vision make to a Smart Factory in modern Industry 4.0 and what exactly is so smart about it?
Terms such as deep learning or artificial intelligence are being used in more and more areas of everyday life. But what exactly do they mean? We explain it in the Vision Campus!
Robots can be used more productively and flexibly if they are equipped with a sense of sight based on vision technology. What are the possible applications and what must be taken into account?
What exactly are they and why should an IoT sensor producer care about it? Find out all about it in our article.
The Internet of Things opens up entirely new opportunities in the world of retail. What role do embedded vision solutions play in this process?
The color fidelity of digitally captured images plays an important role, especially in the fields of microscopy, dermatology and ophthalmology. Find out here why the right color calibration is so important and what factors need to be considered.
How do you teach a machine to learn on its own? And for what purpose? Our video explains how a machine becomes an “intelligent” machine with the help of neural networks and experience, and why we need this artificial intelligence.
Smart watch, smart home, smart city – the Internet of Things (IoT) continues to connect our everyday lives. We explain what a smart city is and which advantages it offers.
Camera-based medical devices support the diagnostic process and the intervention that follows. We explain the four most important advantages in our new video.
Many devices in medical, research or analytical laboratories work on the basis of image processing. Find out here how cameras contribute to lab automation.
Cameras are an increasingly common feature in modern medical technology. Read here how exactly they're being used and why.
Image processing systems in Industry 4.0 are tools for efficient, automated production based on visually captured data.
Industrial image processing — also known as machine vision — is used to optimize production processes. We present the individual components to you in greater detail.
All machine vision cameras have one shared task: optical inspections. This text will explain to you precisely how that works.
