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.
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.
Lighting selection and setup play a critical role in the success of a machine vision application. Vision systems rely on specific types of lighting to optimize contrast or to highlight a specific feature of interest.