Wildfires in the Amazon rainforest. Credit: lavizzara/shutterstock.com
The hyperspectral payload will be built by Metaspectral and HySpeed, and will use data compression and machine learning to overcome bandwidth constraints
Dr Mario Giardini from the University of Strathclyde testing the technology. Credit: University of Strathclyde
The imager, developed by researchers at the University of Strathclyde, is an add-on to a slit lamp, equipment commonly used by optometrists
Credit: IDS and Sewts
German start-up Sewts has built a robot cell to automate the process of loading industrial laundry folding machines
The system assesses different parts, like these two generators. Credit: Fraunhofer IPK/Larissa Klassen
A project to scan used car parts to identify those that can be reused is underway. The EIBA project is based on 3D stereo cameras and AI
DeGould's Auto-compact inspection system. Credit: DeGould and Sony
Jaguar Land Rover's Solihull plant employs an inspection system made by DeGould incorporating arch lighting, AI, and 61-megapixel Sony cameras
Image: Dairy Distillery and Pleora
Ontario-based Dairy Distillery, which turns dairy by-products into vodka, has installed machine vision to add decision support to its labelling process
Image: Bill45/shutterstock.com
An Italian porcelain manufacturer has automated production of its teacups with a vision-guided pick-and-place system
Credit: Nataly Reinch _ Shutterstock.com
The vision devices use Sony's IMX500 sensor, which is able to run AI algorithms on the chip to provide real-time information about free parking spaces and other transport data
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
The Ceneri Base Tunnel
Video recorded at 2,800 frames per second has been used to test high-speed trains travelling through the newly opened Ceneri Base Tunnel in Switzerland
Credit: Sergey Nivens/shutterstock.com
The vision sector is changing rapidly, so how can firms thrive? Holly Cave speaks to some key vision suppliers
Credit: REDPIXEL.PL/shutterstock.com
Vision start-ups are proliferating, thanks to AI and embedded computing. But what makes young companies successful? Abigail Williams reports
Credit: eamesBot/shutterstock.com
With no end to the semiconductor shortage in sight, the industrial vision industry has had to adapt to a new normal, finds Benjamin Skuse
Kowa’s compact lens series. Credit: Kowa
What new technology can vision users and integrators expect over the coming year? We round up some of the highlights
Donato Montanari, Zebra Technologies’ vice president and general manager for machine vision
Zebra Technologies has made sizable purchases in machine vision over the last year. Donato Montanari reveals why the firm places so much value on vision
Werner Feith, EMVA standards manager
The EMVA has written a set of policies for machine vision standards, designed to protect IP among other aspects. Werner Feith, explains the changes
Credit: Covision Lab
Covision Lab has ambitions to be the leading computer vision machine learning hub in Europe for industry. Greg Blackman spoke to its CEO, Franz Tschimben
Image: Thitichaya Yajampa/shutterstock.com
Mark Hebbel, head of consultancy at Chainstep, on the importance of cybersecurity in vision sensors now that factories are more connected
