Greg Blackman visited the Embedded World conference and exhibition in Nuremberg, Germany, at the end of February to find vision in abundance
Migrating software code from a PC to an embedded system to run vision applications presents various challenges. Following a presentation he gave at Embedded World in Nuremberg, Germany last week, Frank Karstens, field application engineer at Basler, gives his advice on the task
Medical imaging, face recognition, autonomous vehicles, and industrial automation were highlighted as key areas for embedded processing by Mark Papermaster, CTO of AMD, in a keynote presentation given today at the Embedded World trade fair in Nuremberg, Germany
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
