Artificial neural networks, sensor computing speeds up machine vision
One of the greatest challenges in terms of biological engineering is creating accurate and reliable artificial machine vision.
Advancements in LiDAR embedded vision technology for safer autonomous vehicles
Autonomous cars are coming, and advancements in technology are improving their performance to the point where their current novelty will become future acceptance and commonality.
Six computer vision technology trends
Computer vision is a part of everyday life for most people. Take a look at six of the hottest trends in computer vision technology.
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.
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.
Emphasizing and implementing safe practices for using AI in medical fields
Artificial intelligence (AI) has become a crucial development in the health care field. It is important to create safe practices for the AI being used within a highly regulated industry.
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.
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.