Deep learning is now more user-friendly and practical than ever and together with other vision technologies opens up new application areas, making the inclusion of vision inspection as part of Industry 4.0 even more beneficial.
Lenses play a crucial role in the quality of the images produced by a machine vision system since they determine the sharpness of the image on the camera sensor. Lenses can influence image quality in a variety of ways.
A number of data transfer hardware interfaces have been developed specifically for the machine vision sector over the years, including cameralink, GigE vision, USB3 vision, CoaXpress and Cameralink HS.
Machine vision systems consist of a number of component parts and all of these must be optimized for the best possible performance. Choosing the right cables and connectors to link cameras to a vision system or PC is one important part of this and is driven by the particular application.
The cameras, lenses and illumination used in a machine vision system all make significant contributions to the overall quality of the images that are produced. The rapid developments in CMOS image sensor technology over the last few years have created significant challenges for lens manufacturers.
Since the emergence of CameraLink, the first dedicated data transmission standard for machine vision applications, the industry has made major moves to develop new standards to meet the rapidly developing technological advances in camera technology and an ever-expanding range of applications for vision.