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.

Choosing the right interface for your machine vision application is a key decision in your camera selection process. The following sections provide an overview of the different types of cables and connectors available for machine vision applications along with associated pros and cons.

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.

Mikrotron introduced a suite of new cameras.

A machine vision interface connects a camera to a computer, transferring image data for processing and analysis. What you choose will impact your application, your system component options, and your results for a long time to come.

The electronics industry is driven by the trend for more GOPS (Giga-Operations per Second) per mm3. This requires smaller technology nodes in wafer manufacturing, a drive to advanced packaging, as well as back-end inspection of the smaller interfacing components like micro-bumps, distribution layers, etc.

Two interfaces—GigE and USB—have been dominating the machine vision industry for the last five years. One supports long cable lengths and easy integration of multiple cameras, while the other offers higher bandwidth and true plug-and-play convenience. 

The camera manufacturer Allied Vision expands its portfolio with an all-new camera family with CoaXPress interface for high-speed and high-bandwidth applications. At market introduction, the Bonito PRO family consist of two models: the 12.6 Megapixel camera Bonito PRO X-1250 and the 26.2 Megapixel Bonito PRO X-2620.

Do you need to build a system with an imaging component and are you wondering about the simplicity and functionality of CoaXPress? Perfect, because that is the topic of this article.

Since its early days, machine vision has been primarily used to check the liquid level in a bottle, or verify if a packaging label is applied correctly.