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
Cognex expects its revenue to continue to decline in the third quarter 2019, because of lower revenue predicted from consumer electronics and weakness in Europe and Asia
Cognex's revenue in the first quarter of 2019 was $173.5 million, an increase of 2 per cent from Q1-18 but a decline of 10 per cent from Q4-18
Cognex has announced that chief financial officer John Curran will resign from the company, effective 3 May 2019
Cognex will showcase its deep learning-based image analysis software designed specifically for factory automation
Cognex grew 5 per cent in 2018 compared to 2017, posting revenue of $806 million for the year. The logistics sector performed particularly well, growing 50 per cent year-on-year
Warehouses are becoming highly automated facilities that rely to a large extent on vision, as Andrew Williams discovers
Cognex has posted second quarter revenue of $211.3 million, an increase of 19 per cent compared to the same period last year
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
