Items Tagged with 'USB 3.0'

The development of machine vision interfaces highlights new technologies, such as PCIe and Thunderbolt, that improve performance and integration across various applications. Additionally, the upcoming GigE Vision 3.0 standard aims to enhance CPU utilization through the use of RDMA technology.

Understandably, designers of high-throughput, multi-camera machine vision systems have grown dissatisfied with those aging standards and have found a new champion, CoaXPress (CXP), a high-speed, point-to-point, serial communications interface that runs data over off-the-shelf 75Ω coaxial cables.

Composite materials combine particularly beneficial properties of their components. For this reason, they are used extensively in industrial applications. However, the inhomogeneous structure of the material must also be taken into consideration.

Thanks in large part to its ease of use, USB dominates consumer-to-computer connectivity applications and is being rapidly adopted across other markets. 

In 2000, the Camera Link standard was adopted as one of the first machine vision standards. Now more than 17 years old, it has seen some changes and several other standards have emerged and been adopted by the industry.

When you are setting up a machine vision system, your choice of camera will depend on the objects that you want to inspect, the necessary speed, lighting and temperature, and available space. And not to forget—the system costs.

The term machine vision refers to the ability of machines to visually perceive their environment. A typical setting consists of a camera for capturing the images, a cable which links the camera to a PC, and the PC which does the image processing.

Advances in camera, sensor, and video interface technologies have helped power the continuing development of machine vision solutions for manufacturing and quality inspection that far surpass the abilities of any human.

A charge-coupled device, or CCD, is by far the most common image capture mechanism used for industries that require high-quality image data.

3-D imaging is integral to machine vision, dating back to 1960 when Larry Roberts wrote his PhD thesis at MIT on the possibility of extracting 3-D geometric information from the standard 2-D views.