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
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
