As car makers install production lines for electric vehicles, Greg Blackman looks at how vision is currently used in their factories
Machine vision technology is improving quality control in automotive manufacturing, writes Andrew Williams
Rob Ashwell looks at how vision fits into the battery of sensors onboard autonomous vehicles
Within the automotive industry, machine vision has become the eye of production, as Beth Harlen finds out
Greg Blackman looks at the vision equipment inspecting car manufacturing lines, a highly automated factory environment and a big user of machine vision
Jessica Rowbury reports from an automotive session at the Image Sensors conference in London
Rob Coppinger sees the advantages of using vision systems for part inspection throughout the automotive supply chain
Vision systems are used throughout various metal processing tasks, from pressing aluminium parts to automotive welding all the way to shredding scrap metal, as Rob Coppinger discovers
Modern automotive production is highly automated, with robots and machines carrying out complicated tasks at every step of the process. Stephen Mounsey discovers how machine vision makes this automation possible, and how it can trace parts through the entire process
Greg Blackman investigates some of the areas where machine vision is used in automotive manufacture
The sensor of SWIR Vision Systems' Acuros CQD 1920 camera
Matthew Dale finds that new sensor technologies based on quantum dots are set to bring down the cost of shortwave infrared imaging
Keely Portway finds out how vision technology is playing a role in medical diagnosis
Bob McCurrach, director of standards development at AIA, updates on the progress being made in GigE Vision
Following speaking at Embedded Vision Europe, Pierre Gutierrez, lead machine learning researcher at Scortex, writes about the challenges of deploying deep learning on the factory floor
Takashi Someda, CTO at Hacarus, on the advantages of sparse modelling AI tools
Depth map from the SceneScan. Credit: Nerian Vision
Dr Konstantin Schauwecker, CEO of Nerian Vision, describes the firm’s stereo vision sensor for fast depth perception with FPGAs
MVDK evaluation board with MIPI CSI-2 sensor and CXP interface board. Credit: Euresys
Greg Blackman finds that purchasing IP cores for FPGAs is one way to reduce time-to-market for camera production
