Cornell University researchers are using optical lace to create a linked sensory network similar to a biological nervous system for robots to improve their actions.
Navajo Technical University (NTU) received a hybrid controlled atmosphere system from Optomec for education, research and workforce development in advanced metal additive manufacturing.
Researchers from North Carolina State University have developed a technique for measuring speed and distance in indoor environments called Wi-Fi-assisted inertial odometry (WIO), which could be used to improve navigation technologies for robots and drones.
Stanford University researchers have developed a high-powered laser that captures reflected particles of light and reconstructs them with a camera’s advanced sensors and processing algorithm.
Sensor companies are creating a detection system that can sense a vehicle’s environment better than human eyesight through a combination of camera, radar, and light detection and ranging (LiDAR) sensors.
Machine vision developments such as image registration, computer-vision, deep learning and other artificial intelligence (AI) technologies are beginning to enable radical market change.
Machine vision technology is widely used for surveillance, and researchers are working to make it more and more intelligent, but occlusion is still a well-known issue in people-detection.
Eye-tracking technology is being used for research and industrial applications and will improve right along with virtual reality (VR) and augmented reality (AR) systems and become the basis for human-computer interaction
Safety is paramount with collaborative robots and they can be made safer with machine vision and artificial intelligence technology.
3-D machine vision lets a robot sense, process information and mimic the way two humans adjust to working around each other.