Image: Landemesse Stuttgart GmbH
Huge strides are being made in neural networks, but there are still significant challenges to implement a machine vision solution, according to experts at Vision
Neurala’s vision AI software will be deployed to increase the effectiveness of optical character recognition reading of package information by automatically identifying expiration dates
Flir Firefly DL. Credit: Flir
Customers can create deep learning models using Neurala’s Brain Builder software and then upload these to a Flir Firefly DL camera
Image: Sergey Nivens/shutterstock.com
A roundup of some of the latest embedded vision technology
Glass inspection normally involves different illumination methods. Credit: MSTVision
Tim Hayes provides a window into how to find defects in glass
Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)
Abigail Williams speaks to scientists tracking marine plastic using satellite spectral imagery
Image: jamesteohart/shutterstock.com
Tim Reynolds finds out how vision and AI algorithms are making cities safer
Anne Wendel, director of VDMA Machine Vision
Anne Wendel, director of VDMA Machine Vision, on how the mechanical engineering sector could be affected by the war in Ukraine
Credit: Intel
Greg Blackman examines the importance of Tower foundries to machine vision sensor firms, following Intel’s acquisition
