03.15.23 -- How Machine Vision Is Benefitting The Automotive Industry

To truly reap all the benefits of high-speed streaming machine vision cameras, the systems must be paired with cable technologies that can support transferring and processing vast amounts of data at high speed. 

The difference between the two lies primarily in image processing capabilities and size: embedded vision systems deliver compact efficiency, and conventional machine vision systems provide high performance and versatility. But the precise boundary between the two can be hard to pin down. 

Average power density is a good metric to understand continuous wave (CW) lasers, but it is not enough to understand what to expect from pulsed lasers. For pulsed lasers, you need to utilize peak power (and peak density).

Selecting a laser module to fit an application should be a fluid process. From identifying key specifications to testing and potentially customizing the final laser, it is not a one-size-fits-all solution.

The path to improving signal-to-noise ratio – the ratio of the power of signal (desired input) to the power of background noise (undesired input) – is to reduce the power of the noise – less background.

Researchers at Howard Hughes Medical Institute are using Raptor InGaAs cameras to investigate the vast and complex network necessary for an organism to sense and react to the world.

The new Jade series is a set of high-end lenses developed with a focus on new sensors like Sony’s Pregius S-Generation 4. Jade lenses are optimized for use in machine vision applications.

Xenics Gobi+ camera and its thermography capabilities are a good solution for temperature monitoring. In addition to temperature inspection and fire prevention in an industrial environment, the Gobi+ is also helpful in process monitoring.