Light detection and ranging (LIDAR) scanning offers critical benefits to clients and engineers and makes projects more efficient and minimizes conflicts.
4D vision takes some aspects from 2D machine vision and gives it more human elements and a boost with artificial intelligence (AI), which can help robots perform better in automation applications.
Columbia researchers engineered a technique to exploit the tunable symmetry of 2D materials for nonlinear optical applications, including laser, optical spectroscopy, imaging, and metrology systems, as well as next-generation optical quantum information processing and computing.
The Association for Advancing Automation (A3) announced four events to promote the use of machine vision and imaging technologies – three virtual conferences and an in-person trade show in 2022.
A University of Missouri engineer received a grant from the National Science Foundation to plan for large-scale manufacturing of an on-skin, wearable bioelectronic device.
MIT researchers have developed that design may enable miniature zoom lenses for drones, cellphones or night-vision goggles without moving or tilting.
Industrial machine vision applications work a lot like the human brain does, but they aren't quite as flexible and have other potential limitations we may not realize.
An optical sensor is being used with the satellite Hugo to detect greenhouse gas emissions from outer space.
Articles about SCADA, HMI and MES projects, deep learning enabling machine vision solutions, maintenance automation, IIoT, and more were Control Engineering’s five most clicked articles from Nov. 16-22, 2020. Miss something? You can catch up here.
A fiber-optic sensor that combines low-cost LEDs and dyes has been created by Cornell researchers, which results in a stretchable “skin” that detects deformations such as pressure, bending and strain.