Machine vision is a dynamic field: STEMMER IMAGING and our suppliers are the world´s leading manufacturers for machine vision components and solutions, introducing many brand new developments several times a year.
Deep learning is currently one of the most exciting topics in machine vision.
Read our technical tip and learn more about the basics of deep learning. „What are neurons and what is the role of large data-sets in this?” – get familiar with terms like these!
High accuracy machine vision applications are dependent on the production of reproducible, high quality images, whether for inspection or measurement purposes. This means that the images must have sufficient resolution and proper definition of the areas of interest for the inspection or measurement to take place. Each element of a machine vision system has an important role to play in the overall outcome, but the optical system is a critical component since it forms the image of the object on the camera sensor.
Embedded Vision has been THE trend topic in the industry for some time now. Rarely in the past has a vision technology been ascribed so much change potential. A large number of exciting possible uses for Embedded Vision systems already exist in virtually all branches of industry and daily life. But will this technology really lead to a complete upheaval in machine vision?
What makes a machine vision system robust? Robustness in this context is more than just reliability. It is a reliability that is maintained within the natural variations of the environment in which the system is being used.
All machine vision systems rely on the production of an image of sufficient quality to allow the required measurements to be made. Clearly the lens or lens combinations used in the vision system play a crucial role in determining the quality of the image produced. It has an impact on many other factors as well: These include the speed that can be achieved, measuring accuracy, and the reproducibility and reliability of the downstream analysis. Although fixed focus lenses are available, most lenses for machine vision applications are manufactured with metal housings and focus mechanisms.
Optics and illumination play a critical role in optimising the imaging conditions for machine vision measurement. Even the seemingly simple act of adjusting the iris (aperture) of a lens affects several parameters in the imaging system. There are a number of ways of adjusting the iris, but the Precise-iris (or P-iris) method offers significant benefits.
Inspection is a critical component of HACCP programs in the food industry. Hyperspectral imaging now provides a powerful complementary approach for the machine vision engineer. Its ability to identify differences in the chemical composition of organic materials opens up major new possibilities for detecting impurities in food products. Most importantly, systems are now available that operate in real time, allowing them to be used on high speed production lines.