Devices known as Acquisition Modules, based on digital interfaces like
USB, FireWire and Gigabit Ethernet. These compact, external modules behave like an external frame grabber, having an interface to one or more cameras at one end and an output to one of the digital interfaces on the other (USB, FireWire or
Gigabit Ethernet) and are used for transferring data to a PC.
Automation technology and machine vision are increasingly merging. Our press agent Peter Stiefenhöfer discussed this exciting development with Peter Keppler, Director of Corporate Sales at STEMMER IMAGING.
This Tech Tip is designed to re-visit the camera interfaces and transmission
standards available for vision systems. Since the last Tech tip on this
subject, over four years ago, there have been a number of new developments.
Computational Imaging (CI) uses data extracted from a series of images acquired under different lighting or optical conditions to create an output image containing the details that are most important to a particular machine vision task. This approach offers powerful advantages over traditional one-shot imaging. It can improve the capability of a camera and reveal image detail not previously possible.
In principle, every image processing system consists of two basic function units: the image source and the image sink. Today compact CMOS cameras are usually used as the image source in the industrial imaging environment. The image sink is the processing unit that extracts results from the image. Currently this will most likely be a classic PC system based on Intel processors and the Windows operating system.
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?
Imaging is an enabling technology in a vast range of industries. No longer
confined to traditional manufacturing and processing inspection applications,
industrial vision finds applications in industries as diverse as security,
transport, sport, space exploration and even as part of the attempt to set a
new world land speed record in 2015.
Machine vision is a well-established technique across a host of industries, improving quality and efficiency in the manufacturing and processing sectors. Its ability to make inspections reliably and at speed 24/7 makes it an invaluable enabling technology in quality control. Technological advances in machine vision continue to be made rapidly, opening up more and more possibilities.
LED lighting offers many advantages including ease of use, excellent
flexibility of design, medium to high intensity output, long life and very
good reliability and repeatability - all major benefits when putting together
a vision system.
Gigabit-Ethernet for Machine Vision or, in short, GigE Vision: According to
many experts, the new interface standard and the closely associated generic
software interface GenICam (Generic Interface for Cameras) will give new
impetus to the industrial image processing sector in the near future: The
image processing industry finds itself at a crucial technological watershed!