Vision & Sensors

RSS

It has always been a challenge to keep 3D products in focus under the camera or to quickly scan various objects at different distances. Liquid lens is a new technology that has been developed to adjust the focus of the optic an easier process.

What are the main considerations to keep in mind when choosing a machine vision system for a cobot-based application?

SWIR illumination and imaging unlock powerful new ways of differentiating materials and chemicals that look similar under visible light.

Since no programming skills are required for easy-to-use machine vision software, industrial image processing can provide a valuable contribution to digitization for small and medium-sized companies.

Integrators designing less demanding systems are staying the course with a well-established interface with a robust track record of handling large amounts of data easily and securely: Camera Link.

Before discussing the trends, let’s lay some groundwork by discussing the market drivers for machine vision that ultimately power the trends.

As technology gets easier to use, vision and AI application design is no longer restricted to expert-level developers. A quality manager or IT operations staff can design, train, and deploy their own customizable workflow.

As technology scales down and the trend towards miniaturization accelerates, how does it affect the design and application of these critical lenses?

The evolution of machine vision lenses now incorporates AI and ML to provide superior object recognition and defect detection.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.