Mark Williamson

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.

The choice of camera data interface is a vital consideration both in traditional PC-based machine vision systems and in the increasingly important area of embedded vision.

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. 

Machine vision systems consist of several component parts, including illumination, lenses, camera, image acquisition and data transfer, and image processing and measurement software.

High accuracy machine vision applications are dependent on the production of reproducible, high quality images, whether for inspection or measurement purposes.

All machine vision systems rely on the production of an image of sufficient quality to allow the required measurements to be made.