Sensors, Vision
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.
How machine vision is disrupting and changing life science industries
Machine vision is making life science industries more interactive and safer for workers as artificial intelligence takes on a greater role.
How embedded vision and AI can reduce manufacturers’ costs
Embedded vision is being added to imaging technology used in drones, collaborative robots and other devices on the manufacturing floor to improve efficiency.
Robots work to aid humans
The industry is moving toward using collaborative robots (cobots) with force-sensing technology that work alongside people
Motion prediction algorithms enhance safety features for automated vehicles
The Southwest Research Institute (SwRI) has developed a machine vision system that predicts pedestrian movements with a convolutional neural network (CNN).
Machine vision cables and connectors need to be strong
Vision sensors and software have since become more sophisticated and their application more diverse, but this evolution has also increased demand for cables that can carry more data over longer distances, which presents new challenges for manufacturers.
Three things to consider when choosing a smart camera for an embedded vision application
Users choosing smart cameras for embedded vision applications should think about the camera's processor, vision software and automation system integration.