A new approach to thermal imaging incorporating machine learning has been developed that improves the classification of objects at distances up to 1,500 metres
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
