Building a twin
10 November 2020
Greg Blackman explores the efforts underway to improve connectivity in factories
Farmers are starting to reap the rewards of robotics and machine vision, as Keely Portway finds out
October/November 2020
MVTec’s deep learning tool provides means to label data simply and efficiently
Dealing with data
10 November 2020
Matthew Dale explores the software to simplify the management and labelling of deep learning data
Classification of nuts as good or bad using Specim’s FX17 camera
Super spectral in sight
10 November 2020
Optical design is crucial in enabling wider adoption of hyperspectral imaging, finds Andy Extance
True colours
10 November 2020
Keely Portway surveys the latest advances in colour imaging, creating fresh opportunities in certain applications
An Illustration of the surface of PAN fibres (left) and carbon fibres after spreading (right). Credit: Fraunhofer IGCV and Chromasens
Carbon fibre inspection takes flight
10 November 2020
Work is underway to build a vision system to detect defects in webs of composite materials
Latest issue
Outfield analyses aerial images of orchards using machine learning to predict crop yield
Open source software has advanced to a point where it’s now a credible option for industrial imaging, Matthew Dale finds
Active Silicon’s 4xCXP-12 FireBird Coaxpress frame grabber (PCIe Gen3 x8)
Chris Beynon, Active Silicon’s CTO and technical chair of the Coaxpress committee, updates on the Coaxpress standard
Neil Trevett and Chris Yates
The Khronos Group and the EMVA are to explore software standards for embedded vision. Khronos’ Neil Trevett and EMVA’s Chris Yates explain the work
Greg Blackman reports from the Embedded World show, where industry experts gave insights into vision processing at the edge
The first colour image, captured by a CMV20000 sensor, to be sent back by the hazard cameras on the Perseverance rover after its landing on Mars on 18 February. Credit: NASA/JPL-Caltech
Greg Blackman speaks to Guy Meynants, formerly of Cmosis, and Paul Jerram, of Teledyne e2v, about the history of the image sensors onboard the Mars rover
