Researchers at North Carolina State University have developed software to enable people using robotic prosthetics or exoskeletons to walk in a safer, more natural manner on different types of terrain.
Hyperspectral imagining uses a greater number of possible wavelengths of light and gathering data for individual pixels of an image, and is able to identify a large number of distinct colors.
Take a look at some of the newest trends in computer vision including smart cities, home security, and more.
Cornell researchers who build nanoscale electronics have developed microsensors that are equipped with an integrated circuit, solar cells and LEDs that enable them to harness light for power and communication.
Advancements in machine vision capabilities have created opportunities to incorporate machine vision into more functions.
UC Berkeley will be opening an advanced bioimaging center that aims to promote imaging technology in life sciences.
Machine vision applications for pharmaceutical manufacturers include everything from formulation to packaging to shipping and are designed to protect consumers.
Rice University physicists and engineers are working on improving machine vision sensors to the Large Hadron Collider (LHC) for better insights and information about the universe's inner workings.
A Purdue University professor who has developed new technologies aimed at making 3D cameras easier to use by compressing 3D camera files and automating focus and exposure settings.
Embedded vision interfaces vary on the application's specific needs. Mobile industry processor interfaces and USB 3.0 are the most common.