Vision & Sensors

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Machine vision systems consist of a number of component parts and all of these must be optimized for the best possible performance. Choosing the right cables and connectors to link cameras to a vision system or PC is one important part of this and is driven by the particular application.

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.

Quality assurance during high-volume production operations, such as the inspection of consumer packaged goods (CPGs), is possible only through the application of high-speed machine vision systems.

If it seems that there are more robots out there today, it’s not your imagination.

The successful application of machine vision technology involves an intricately and carefully balanced mix of a variety of elements.

Integrating robots into a manufacturing line challenges process control engineers to rethink part flow and learn how both robot and 3D sensors can work together to achieve faster, more efficient production.

Where rule-based machine vision has not been attempted or has reached its limits, there is a high potential for deep learning algorithms to support employees and drive forward automation.

At its simplest, automation means to make something automatic. In manufacturing, whether describing a single device or an entire system or process, automation refers to performing one or many tasks autonomously with minimal or even no human interaction in a manufacturing or production environment.

The renewed interest for vision guided robotics (VGR) for the manufacturing of parts and packaging of goods is much in part to the number of advances in sophisticated technologies over the last decade.