Sensors, Vision
Researchers incorporate computer vision, uncertainty into AI for robotic prosthetics
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 imaging use in industrial machine vision systems grows
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.
As demand for computer vision grows, what key technologies are trending?
Take a look at some of the newest trends in computer vision including smart cities, home security, and more.
Nanoscale microscopic sensors see the light
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.
Machine vision is finding its way into new applications as automation demand increases
Advancements in machine vision capabilities have created opportunities to incorporate machine vision into more functions.
Advanced bioimaging center pushing the limits of imaging technology
UC Berkeley will be opening an advanced bioimaging center that aims to promote imaging technology in life sciences.
Pharmaceutical industry processes benefiting from machine vision
Machine vision applications for pharmaceutical manufacturers include everything from formulation to packaging to shipping and are designed to protect consumers.
University physicists, engineers upgrading Large Hadron Collider sensors
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.
Technologies developed to make 3D cameras easier to use
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.
Comparing the different interface standards for embedded vision
Embedded vision interfaces vary on the application's specific needs. Mobile industry processor interfaces and USB 3.0 are the most common.