The panel discussion at the Embedded World trade fair
Matthew Dale looks at what it will take to increase the adoption of embedded vision
InGaAs and event-based sensors still rely on silicon CMOS readout ICs
Greg Blackman explores the work being done on InGaAs sensors, along with other types of novel sensor that could find their way into the machine vision market
Oliver Fähnle, of Fisba, says optimising optical systems relies on communities in the supply chain talking to one another
Newly elected EMVA president Chris Yates considers what the future might hold for machine vision
Michał Czardybon, CEO of Adaptive Vision, on how to handle data and image annotation when working with deep learning
Raghava Kashyapa, CEO of Indian vision firm Qualitas Technologies, writes about the benefits and challenges of implementing machine vision in the cloud – and what this holds for manufacturing in India
Paul Wilson, managing director of Scorpion Vision, describes what it takes to install a 3D robot vision system in a Chinese foundry
Image credit: Fit Ztudio/Shutterstock.com
Deep learning has helped to make great strides in machine vision technology, but there are additional data-centric tools that can help new applications come to life. Find out more...
CCD374 for Sentinel-4 Earth observation satellite. Credit: ESA
The different requirements of industrial and space imaging have led to distinct sensor development paths that diverge and intersect in interesting ways, as Benjamin Skuse finds out
Image: Caleb Foster/shutterstock.com
Clever manipulation of light is allowing researchers to image deeper into tissue to ultimately further our understanding of the brain. Abigail Williams investigates
One of SweGreen's eight vertical farm units that it operates across Sweden. Credit: SweGreen
Automation, lighting regimes, and hyperspectral imaging are unlocking vertical farming’s full potential, finds Benjamin Skuse
Image: atdigit/shutterstock.com
There’s a renaissance underway in shortwave infrared imaging as thin-film photodetectors come online. Tim Hayes reports
