Vision sensors and software have since become more sophisticated and their application more diverse, but this evolution has also increased demand for cables that can carry more data over longer distances, which presents new challenges for manufacturers.
Users choosing smart cameras for embedded vision applications should think about the camera's processor, vision software and automation system integration.
Georgia Tech researchers have demonstrated an all-optical technique for creating second-order nonlinear effects in materials that aren't normally supported, which could improve optical computers and high-speed data processors.
Researchers have developed a method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements.
Using sensors in age of smart devices and systems require more knowledge about sensor system design to ensure reliability and accuracy in critical automation applications. See three key trends in sensor engineering and design.
Researchers at the University of Illinois at Urbana-Champaign successfully applied kirigami architectures to graphene to create sensors suitable for wearable devices.
3-D machine vision can be used for a wide range of automotive manufacturing applications where fast and accurate object detection is needed.
Augmented reality (AR) wearable technology can provide workers and companies real-time information about conditions on the plant floor to make everyone safer.
Georgia Tech researchers are using 3-D printers to trap cancer cells, which could advance the goal of personalized cancer treatment by allowing rapid and low-cost separation of tumor cells circulating in the bloodstream.
Columbia University researchers have developed a method to restore graphene's symmetry by adjusting the twist angle between them, which could enable the development of nanoelectromechanical sensors with applications in astronomy, medicine, search and rescue, and more.