As AMD buys Xilinx and Nvidia acquires Arm, we ask two industry experts what this could mean for the vision sector
OmniVision Technologies will be showing an automotive camera module at the AutoSens conference in Brussels from 17 to 19 September, built using OmniVision’s OX03A1Y image sensor with an Arm Mali-C71 image signal processor
Greg Blackman reports from Embedded World, in Nuremberg, where he finds rapid progress in technology for imaging at the edge
Greg Blackman visited the Embedded World conference and exhibition in Nuremberg, Germany, at the end of February to find vision in abundance
Nvidia’s open source Deep Learning Accelerator is to be integrated into Arm’s Project Trillium platform for machine learning
Embedded vision looks set to disrupt the surveillance market, according to Michael Tusch of ARM. Greg Blackman reports on his presentation at the Embedded Vision Summit
Greg Blackman sums up some of the main talking points at the recent Vision trade fair in Stuttgart, Germany
Greg Blackman at the Vision trade fair in Stuttgart finds that embedded image processing looks set to transform the vision industry
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
