Upstream oil & gas operations improved using data analytics.
Vision-guided robot (VGR) applications are useful for manufacturing applications and are quickly becoming commonplace as technology costs continue to drop.
Advances in deep learning, 3-D imaging, and optical character recognition (OCR) software are among the major machine vision developments happening right now.
Embedded vision technology is an essential component for augmented reality (AR) and virtual reality (VR) environments and allows headsets to capture the world around them in an extremely compact space.
Industry trends impacting the machine vision industry include embedded vision growth, deep learning technology, and global economic uncertainty.
The food and beverage industry has been an early adopter of machine vision technology, which has inspired some companies to develop technology that meets stricter industry standards.
Should shaft encoders or bearingless encoders be used? Should capacitive, magnetic, or inductive encoder sensors be used? Where should design engineers deploy each encoder type and why?
There is growing demand for optimized medical instruments that can provide a solution regardless of location or user expertise and machine vision is crucial in making those advances happen.
Control Engineering's most clicked articles in December 2018 included stories about the 2019 System Integrator Giants, Engineers' Choice Finalists, SIY winners, temperature measurement for process applications, leveraging process simulation, and more. Miss something? You can catch up here.
Hardware and software advances such as improved sensors and the cloud have helped robot grippers enable safer, closer human-robot collaboration, ease of use, and flexibility for many different applications.