Lettuce imaging is tip of the iceberg
11 June 2019
Researchers at Earlham Institute have developed a machine learning platform to categorise lettuce crops using computer vision and aerial images
Earlham Institute
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A roundup of some of the latest embedded vision technology
Glass inspection normally involves different illumination methods. Credit: MSTVision
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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
