The demand for machine vision has grown exponentially as manufacturing facilities turn to automated quality control solutions to remain competitive in fast-paced markets with decreasing tolerance for error. In fact, the rise of machine vision is directly correlated with the increase in automation and robotic use in factories.

Machine vision is a key technology for highly automated and seamlessly networked processes in the context of Industry 4.0, a.k.a. the Industrial Internet of Things. The use of new artificial intelligence processes such as deep learning is gaining in importance. A great many benefits make the technology attractive, but it also has limitations.

Russ Hudyma, Chief Technology Officer with Navitar, discusses the benefits of precision lens-to-sensor active alignment within the field of machine vision for high-end inspection.

The world of machine vision imaging is largely performance driven. We’re looking for features on a part, finding edges, gaging, etc. 

Machine vision cables play a central role in the overall performance of machine vision systems. Those in need of robust, reliable vision results are wise to use the highest quality cables. Far too often, machine vision cables are seen as a place of potential cost savings on system design.

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. 

Pixelink, a Navitar Company, has released their new polarization machine vision camera built around the Sony IMX250MZR Pregius global shutter CMOS sensor.

Mikrotron introduced a suite of new cameras.

Teledyne DALSA announced a new compact, low-cost vision system for multi-camera applications.

LUCID Vision Labs, Inc. announced the addition of four new Triton GigE Vision camera models featuring Sony Pregius global shutter CMOS image sensors.