Our technical tips dig deeper and explain machine vision technology down to the last detail.
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 and machine vision move closer together
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.
Brought into focus at lightning speed - Variable focal length lenses for machine vision
Variable focal length lenses enable rapid focusing in machine vision applications where the working distance between the object and the camera system is frequently changing.
Computational imaging improves imaging at source
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.
Do you need to speed up your vision?
Is your machine vision system struggling to handle large amounts of data provided by high resolution and high frame rate cameras? Are you are planning a complex high-speed vision system and don't know how to get real time results? You can speed up your vision system with high-performance frame grabbers from Silicon Software. Our experts can tell you how and help you get your system up and running!
Embedded GigE Vision Server
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: Can Embedded Vision revolutionise imaging and machine vision?
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?
Faster, smarter, smaller, more versatile imaging
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.
Four stages of machine vision in industry
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.
Get the Most out of your LED Based Lighting
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.
GigE Vision and GenICam
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!