The Moon landing was 50 years old in 2019. Zeiss lenses were used to capture this image
The last year has been one of consolidation for the machine vision industry, along with a slowdown in the markets that machine vision serves
The result reflects lower sales to customers in consumer electronics, particularly smartphone manufacturing. Revenue from automotive and other industrial markets also continued to weaken
Sualab’s Suakit machine vision software uses neural networks to detect atypical and irregular defects that are not easily captured by a traditional rule-based machine vision system
The newly released version 2.3 of SuaKit, deep learning machine vision software library, will enable more challenging visual inspections in manufacturing
Limited data is a common problem when training CNNs in industrial imaging applications. Petra Thanner and Daniel Soukup, from the Austrian Institute of Technology, discuss ways of working with CNNs when data is scarce
Sualab will exhibit Suakit, its deep learning machine vision inspection software
Deep learning was in force at the Vision trade fair in Stuttgart at the beginning of November. Greg Blackman reports from the show
Greg Blackman on the deep learning software tools now being deployed in industrial imaging
Deep learning technology will be in abundance at the upcoming Vision show in Stuttgart from 6 to 8 November, where first-time exhibitors Sualab, Deepsense, and Neadvance will show AI solutions
Outfield analyses aerial images of orchards using machine learning to predict crop yield
Farmers are starting to reap the rewards of robotics and machine vision, as Keely Portway finds out
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
