Sensors, Vision

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Sensors, Vision January 28, 2020

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.

By Dan McCarthy
Courtesy: CFE Media
Sensors, Vision January 23, 2020

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.

A red laser creates nonlinear effects with tiny triangles of gold. The blue beam shows the frequency-doubled light and the green beam controls the hot-electron migration. Courtesy: Rob Felt, Georgia Tech
Industrial PCs January 18, 2020

Laser pulse creates frequency doubling in amorphous dielectric material

Georgia Tech researchers have demonstrated an all-optical technique for creating second-order nonlinear effects in materials that aren't normally supported, which could improve optical computers and high-speed data processors.

By John Toon
Sensors, Vision January 15, 2020

Machine learning shapes microwaves for a computer’s eyes

Researchers have developed a method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements.

By Ken Kingery
Shashidhara Dongre is global head, smart products and services practice at L&T Technology Services. Courtesy: L&T Technology Services.
Sensors, Vision January 11, 2020

Critical sensor applications: Diagnostics or redundancy?

Using sensors in age of smart devices and systems require more knowledge about sensor system design to ensure reliability and accuracy in critical automation applications. See three key trends in sensor engineering and design.

By Shashidhara Dongre
Source: University of Illinois at Urbana-Champaign Department of Mechanical Science and Engineering/ISSSource
Sensors, Vision January 7, 2020

Wearable sensor developed with kirigami architectures

Researchers at the University of Illinois at Urbana-Champaign successfully applied kirigami architectures to graphene to create sensors suitable for wearable devices.

By Gregory Hale
Courtesy: CFE Media
Sensors, Vision January 5, 2020

Embedded 3-D machine vision enhances automotive production

3-D machine vision can be used for a wide range of automotive manufacturing applications where fast and accurate object detection is needed.

Courtesy: CFE Media
AI and Machine Learning January 3, 2020

Leveraging augmented reality wearables on the plant floor

Augmented reality (AR) wearable technology can provide workers and companies real-time information about conditions on the plant floor to make everyone safer.

A 3D-printed cell trap developed in the laboratory of Georgia Tech Assistant Professor A. Fatih Sarioglu captures blood cells to isolate tumor cells from a blood sample. Courtesy: Allison Carter, Georgia Tech
AI and Machine Learning December 20, 2019

Using 3-D printers to trap cancer cells for early detection

Georgia Tech researchers are using 3-D printers to trap cancer cells, which could advance the goal of personalized cancer treatment by allowing rapid and low-cost separation of tumor cells circulating in the bloodstream.

By John Toon
Illustration of controlled rotation of boron nitride (BN) layers above and below a graphene layer introduce coexisting moire superlattices, which change size, symmetry and complexity as a function of angle. In this system the Columbia researchers achieve unprecedented control over monolayer graphene's bandstructure within a single device, by mechanically rotating boron nitride atop graphene aligned to a bottom BN slab. Courtesy: Columbia University
Sensors, Vision December 15, 2019

Restoring graphene’s symmetry with a twistable electronics device

Columbia University researchers have developed a method to restore graphene's symmetry by adjusting the twist angle between them, which could enable the development of nanoelectromechanical sensors with applications in astronomy, medicine, search and rescue, and more.

By Holly Evarts