Plans are underway at Ford to use machine vision with robotics to increase quality and throughput, as explained at Automate 2019. See video.
Fraunhofer Institute for Photonic Microsystems (IPMS) researchers have been developing and manufacturing micro-scanner mirrors, which provide robots an ability similar to human vision.
Embedded vision and machine vision applications are effective, but they have different priorities and interfaces that need to be considered.
Inkbit, a startup out of MIT, is working to bring 3-D printing benefits to a slew of products that have never been printed before by pairing its multimaterial inkjet 3-D printer with machine vision and machine learning systems.
There are several key barriers to the implementation of predictive maintenance technologies, but they can be alleviated.
System integrators across the industry are fielding more requests to develop complete and detailed systems, which require them to stay ahead of a fast-moving curve.
Cover Story: Computer numerical controls (CNC) trends for machine control include easier integration of systems, such as measuring probes, to save up to 90% setup time.
MIT researchers have developed a scalable tactile glove (STAG) designed to help a neural network identify objects by touch, which could aid robotics and prosthetics design.
Embedded vision systems can help robots achieve and accomplish tasks they weren't able to do before including automated assembly and robotic inspection.
MIT researchers have developed an autonomous control system that “learns” the steering patterns of human drivers as they navigate roads in a small area, using only data from video camera feeds and a simple GPS-like map. See video.