Farmers are starting to reap the rewards of robotics and machine vision, as Keely Portway finds out
AutoSens
AutoSens Detroit launches programme agenda
14 February 2020
Image processing, active safety and deep learning complete a technically engaging agenda for AutoSens in Detroit for 2020
AutoSens launches in Hong Kong in 2020
15 May 2019
The autonomous vehicle technology event, AutoSens, has launched in Hong Kong, beginning November 2020
AutoSens Detroit features packed speaker lineup
28 March 2019
AutoSens Detroit, from 14-16 May, will have presentations from the US Highway Loss Data Institute, talking about the impact of current deployed ADAS technologies on road safety, along with keynotes from Siemens and Toyota Motor North America, and technical presentations from experts at GM, Changan, Aptiv, Daimler, Nvidia, Valeo, Sony, and TomTom
AutoSens
AutoSens
AutoSens reveals speaker lineup
14 July 2017
Now established as the world’s most forward-thinking ADAS technology conference, AutoSens makes a welcome return to AutoWorld Brussels from 19-21 September 2017
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
